{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/aprorok/Dropbox/leader specific concessions project/temp - just to run log/Selling_Out_or_Standing_Firm_replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}27 Jan 2020, 21:06:01

{com}. do "/var/folders/kt/j4m364t17zzgz_ckdqd2z19c0000gq/T//SD28256.000000"
{txt}
{com}. *Selling Out or Standing Firm? Explaining the Design of Civil War Peace Agreements Replication Files
. use Selling_Out_or_Standing_Firm_processlevel.dta
{txt}
{com}.   
. **********************
. **** MAIN RESULTS ****
. **********************
. 
. *** Main DV ***
. 
. fracreg logit public_proportion2 ethnic_all_dum conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-55.034339}  
Iteration 1:{space 3}log pseudolikelihood = {res:-49.041142}  
Iteration 2:{space 3}log pseudolikelihood = {res:-49.033584}  
Iteration 3:{space 3}log pseudolikelihood = {res:-49.033584}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     23.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0006
{txt}Log pseudolikelihood = {res}-49.033584{txt}{col 49}Pseudo R2{col 67}= {res}    0.0432

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2} .4777371{col 32}{space 2} .2039837{col 43}{space 1}    2.34{col 52}{space 3}0.019{col 60}{space 4} .0779364{col 73}{space 3} .8775379
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5926051{col 32}{space 2} .2500891{col 43}{space 1}    2.37{col 52}{space 3}0.018{col 60}{space 4} .1024394{col 73}{space 3} 1.082771
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0047243{col 32}{space 2} .1738339{col 43}{space 1}    0.03{col 52}{space 3}0.978{col 60}{space 4}-.3359839{col 73}{space 3} .3454325
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .5333931{col 32}{space 2} .2121241{col 43}{space 1}    2.51{col 52}{space 3}0.012{col 60}{space 4} .1176376{col 73}{space 3} .9491486
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .1086401{col 32}{space 2} .2129001{col 43}{space 1}    0.51{col 52}{space 3}0.610{col 60}{space 4}-.3086365{col 73}{space 3} .5259167
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.4983549{col 32}{space 2} .2172901{col 43}{space 1}   -2.29{col 52}{space 3}0.022{col 60}{space 4}-.9242357{col 73}{space 3} -.072474
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.6785199{col 32}{space 2}  .306499{col 43}{space 1}   -2.21{col 52}{space 3}0.027{col 60}{space 4}-1.279247{col 73}{space 3}-.0777929
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m1
{txt}
{com}. 
. fracreg logit public_proportion2 bes_sanctuary conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-55.017033}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.991325}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.981602}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.981601}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     26.50
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0002
{txt}Log pseudolikelihood = {res}-48.981601{txt}{col 49}Pseudo R2{col 67}= {res}    0.0442

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}-.4652651{col 32}{space 2} .2035863{col 43}{space 1}   -2.29{col 52}{space 3}0.022{col 60}{space 4}-.8642869{col 73}{space 3}-.0662432
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5837222{col 32}{space 2} .2524462{col 43}{space 1}    2.31{col 52}{space 3}0.021{col 60}{space 4} .0889367{col 73}{space 3} 1.078508
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .1205467{col 32}{space 2} .1680751{col 43}{space 1}    0.72{col 52}{space 3}0.473{col 60}{space 4}-.2088745{col 73}{space 3} .4499679
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .4902082{col 32}{space 2} .1985329{col 43}{space 1}    2.47{col 52}{space 3}0.014{col 60}{space 4} .1010908{col 73}{space 3} .8793256
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .2724635{col 32}{space 2} .2075371{col 43}{space 1}    1.31{col 52}{space 3}0.189{col 60}{space 4}-.1343017{col 73}{space 3} .6792287
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.5895321{col 32}{space 2} .2160707{col 43}{space 1}   -2.73{col 52}{space 3}0.006{col 60}{space 4}-1.013023{col 73}{space 3}-.1660413
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.4954545{col 32}{space 2} .3176898{col 43}{space 1}   -1.56{col 52}{space 3}0.119{col 60}{space 4}-1.118115{col 73}{space 3}  .127206
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m2
{txt}
{com}. 
. fracreg logit public_proportion2 e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-55.195479}  
Iteration 1:{space 3}log pseudolikelihood = {res:-49.428208}  
Iteration 2:{space 3}log pseudolikelihood = {res:-49.423019}  
Iteration 3:{space 3}log pseudolikelihood = {res:-49.423018}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     22.29
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0011
{txt}Log pseudolikelihood = {res}-49.423018{txt}{col 49}Pseudo R2{col 67}= {res}    0.0356

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
e_contraband_dum~f {c |}{col 20}{res}{space 2} .0239333{col 32}{space 2} .2230827{col 43}{space 1}    0.11{col 52}{space 3}0.915{col 60}{space 4}-.4133007{col 73}{space 3} .4611673
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .6935482{col 32}{space 2} .2693026{col 43}{space 1}    2.58{col 52}{space 3}0.010{col 60}{space 4} .1657248{col 73}{space 3} 1.221372
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .1201931{col 32}{space 2} .1762685{col 43}{space 1}    0.68{col 52}{space 3}0.495{col 60}{space 4}-.2252868{col 73}{space 3}  .465673
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .5073831{col 32}{space 2} .2202702{col 43}{space 1}    2.30{col 52}{space 3}0.021{col 60}{space 4} .0756614{col 73}{space 3} .9391049
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .2178474{col 32}{space 2}  .212177{col 43}{space 1}    1.03{col 52}{space 3}0.305{col 60}{space 4}-.1980119{col 73}{space 3} .6337068
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.5168961{col 32}{space 2} .2285213{col 43}{space 1}   -2.26{col 52}{space 3}0.024{col 60}{space 4}-.9647895{col 73}{space 3}-.0690026
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.7543843{col 32}{space 2} .3511526{col 43}{space 1}   -2.15{col 52}{space 3}0.032{col 60}{space 4}-1.442631{col 73}{space 3}-.0661378
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m3
{txt}
{com}. 
. *** Inclusive DV ***
. 
. fracreg logit public_proportion2_inc ethnic_all_dum conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-51.467869}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.306992}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.304072}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.304072}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     33.39
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-48.304072{txt}{col 49}Pseudo R2{col 67}= {res}    0.0653

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportio~c{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2}  .592448{col 32}{space 2}  .223447{col 43}{space 1}    2.65{col 52}{space 3}0.008{col 60}{space 4} .1544998{col 73}{space 3} 1.030396
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2}  .560395{col 32}{space 2} .2809474{col 43}{space 1}    1.99{col 52}{space 3}0.046{col 60}{space 4} .0097482{col 73}{space 3} 1.111042
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0515995{col 32}{space 2} .1825787{col 43}{space 1}    0.28{col 52}{space 3}0.777{col 60}{space 4} -.306248{col 73}{space 3} .4094471
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .4909698{col 32}{space 2} .2313595{col 43}{space 1}    2.12{col 52}{space 3}0.034{col 60}{space 4} .0375135{col 73}{space 3} .9444262
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2}  .737111{col 32}{space 2} .2305148{col 43}{space 1}    3.20{col 52}{space 3}0.001{col 60}{space 4} .2853102{col 73}{space 3} 1.188912
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.4930958{col 32}{space 2} .2428457{col 43}{space 1}   -2.03{col 52}{space 3}0.042{col 60}{space 4}-.9690646{col 73}{space 3}-.0171269
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.6357352{col 32}{space 2} .3427351{col 43}{space 1}   -1.85{col 52}{space 3}0.064{col 60}{space 4}-1.307484{col 73}{space 3} .0360132
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m4
{txt}
{com}. 
. fracreg logit public_proportion2_inc bes_sanctuary conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-51.385283}  
Iteration 1:{space 3}log pseudolikelihood = {res: -48.11089}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.107065}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.107065}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     36.03
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-48.107065{txt}{col 49}Pseudo R2{col 67}= {res}    0.0691

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportio~c{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}-.6219461{col 32}{space 2} .2274533{col 43}{space 1}   -2.73{col 52}{space 3}0.006{col 60}{space 4}-1.067746{col 73}{space 3}-.1761458
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5147592{col 32}{space 2} .2761094{col 43}{space 1}    1.86{col 52}{space 3}0.062{col 60}{space 4}-.0264054{col 73}{space 3} 1.055924
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .2042773{col 32}{space 2} .1649322{col 43}{space 1}    1.24{col 52}{space 3}0.216{col 60}{space 4}-.1189839{col 73}{space 3} .5275385
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .4321465{col 32}{space 2} .2156373{col 43}{space 1}    2.00{col 52}{space 3}0.045{col 60}{space 4} .0095051{col 73}{space 3} .8547879
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .9507922{col 32}{space 2}  .232114{col 43}{space 1}    4.10{col 52}{space 3}0.000{col 60}{space 4} .4958572{col 73}{space 3} 1.405727
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.6255724{col 32}{space 2} .2398868{col 43}{space 1}   -2.61{col 52}{space 3}0.009{col 60}{space 4}-1.095742{col 73}{space 3} -.155403
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.3869512{col 32}{space 2} .3555469{col 43}{space 1}   -1.09{col 52}{space 3}0.276{col 60}{space 4} -1.08381{col 73}{space 3} .3099078
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m5
{txt}
{com}. 
. fracreg logit public_proportion2_inc e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-51.692751}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.852513}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.850563}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.850563}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     29.55
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-48.850563{txt}{col 49}Pseudo R2{col 67}= {res}    0.0548

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportio~c{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
e_contraband_dum~f {c |}{col 20}{res}{space 2} .1001984{col 32}{space 2} .2507968{col 43}{space 1}    0.40{col 52}{space 3}0.690{col 60}{space 4}-.3913542{col 73}{space 3}  .591751
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .7104474{col 32}{space 2} .3091917{col 43}{space 1}    2.30{col 52}{space 3}0.022{col 60}{space 4} .1044429{col 73}{space 3} 1.316452
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .2047377{col 32}{space 2} .1846043{col 43}{space 1}    1.11{col 52}{space 3}0.267{col 60}{space 4}-.1570801{col 73}{space 3} .5665554
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2}  .452002{col 32}{space 2} .2402339{col 43}{space 1}    1.88{col 52}{space 3}0.060{col 60}{space 4}-.0188477{col 73}{space 3} .9228517
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .8690852{col 32}{space 2} .2306742{col 43}{space 1}    3.77{col 52}{space 3}0.000{col 60}{space 4}  .416972{col 73}{space 3} 1.321198
{txt}{space 6}conventional {c |}{col 20}{res}{space 2} -.516881{col 32}{space 2}  .252519{col 43}{space 1}   -2.05{col 52}{space 3}0.041{col 60}{space 4}-1.011809{col 73}{space 3}-.0219529
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.7881589{col 32}{space 2} .3931151{col 43}{space 1}   -2.00{col 52}{space 3}0.045{col 60}{space 4} -1.55865{col 73}{space 3}-.0176675
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m6
{txt}
{com}. 
. *********************
. ****** Table 1 ******
. *********************
. 
. #delimit;
{txt}delimiter now ;
{com}. esttab m1 m2 m3 m4 m5 m6 using table1.rtf, replace
>   modelwidth(7) se label nogaps nonotes title(Table 1: Fractional Logit Results) 
>   addnote(Robust standard errors in parentheses. *p<0.10, **p<0.05, ***p<0.01.) 
>   nonumbers mtitles("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6")  
>   star(* 0.10 ** .05 *** .01) ;
{res}{txt}(note: file table1.rtf not found)
(output written to {browse  `"table1.rtf"'})

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. ********************
. ***** Figure 2 *****
. ********************
. 
. qui fracreg logit public_proportion2 ethnic_all_dum conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)
{txt}
{com}. margins, dydx(ethnic_all_dum)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}        75
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Conditional mean of public_proportion2, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:ethnic_all_dum}{p_end}
{p2colreset}{...}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
ethnic_all_dum {c |}{col 16}{res}{space 2} .1103361{col 28}{space 2} .0456658{col 39}{space 1}    2.42{col 48}{space 3}0.016{col 56}{space 4} .0208328{col 69}{space 3} .1998394
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(ethnic_all_dum=(0 1)) vsquish
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}        75
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Conditional mean of public_proportion2, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ethnic_all~m}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ethnic_all~m}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3890501{col 26}{space 2} .0296544{col 37}{space 1}   13.12{col 46}{space 3}0.000{col 54}{space 4} .3309286{col 67}{space 3} .4471717
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .5015611{col 26}{space 2} .0374438{col 37}{space 1}   13.40{col 46}{space 3}0.000{col 54}{space 4} .4281726{col 67}{space 3} .5749497
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(bar) recastci(rcap) ///
>   ciopts(lw(medthick) color(black)) ///
>   plotopts(barw(.5) color(gs10)) ///
>   xmtick(-.5(.5)1.5) ///
>   ylabel(0(.20).60) ///
>   ytitle(Predicted Public Benefits Proportion) ///
>   title(" ") ///
>   graphregion(color(white)) ///
>   saving (ethnic_ppgraph.gph, replace)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ethnic_all_dum{p_end}
{res}{txt}(note: file ethnic_ppgraph.gph not found)
{res}{txt}(file ethnic_ppgraph.gph saved)

{com}. 
. qui fracreg logit public_proportion2 bes_sanctuary conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)
{txt}
{com}. margins, dydx(bes_sanctuary)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}        75
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Conditional mean of public_proportion2, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:bes_sanctuary_max_duringconf}{p_end}
{p2colreset}{...}

{res}{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32} Delta-method
{col 20}{c |}      dy/dx{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}-.1073245{col 32}{space 2} .0458502{col 43}{space 1}   -2.34{col 52}{space 3}0.019{col 60}{space 4}-.1971893{col 73}{space 3}-.0174598
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(bes_sanctuary=(0 1)) vsquish
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}        75
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Conditional mean of public_proportion2, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:bes_sanctu~f}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:bes_sanctu~f}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4815416{col 26}{space 2} .0321208{col 37}{space 1}   14.99{col 46}{space 3}0.000{col 54}{space 4}  .418586{col 67}{space 3} .5444972
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3733409{col 26}{space 2} .0337738{col 37}{space 1}   11.05{col 46}{space 3}0.000{col 54}{space 4} .3071454{col 67}{space 3} .4395363
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(bar) recastci(rcap) ///
>   ciopts(lw(medthick) color(black)) ///
>   plotopts(barw(.5) color(gs10)) ///
>   xmtick(-.5(.5)1.5) ///
>   ylabel(0(.20).60) ///
>   ytitle(" ", size(small)) ///
>   title(" ") ///
>   graphregion(color(white)) ///
>   saving (sanctuary_ppgraph.gph, replace)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: bes_sanctuary_max_duringconf{p_end}
{res}{txt}(note: file sanctuary_ppgraph.gph not found)
{res}{txt}(file sanctuary_ppgraph.gph saved)

{com}. 
. qui fracreg logit public_proportion2 e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)
{txt}
{com}. margins, at(e_contraband_dum2_max_duringconf=(0 1)) vsquish
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}        75
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Conditional mean of public_proportion2, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:e_contraba~f}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:e_contraba~f}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4271906{col 26}{space 2} .0363008{col 37}{space 1}   11.77{col 46}{space 3}0.000{col 54}{space 4} .3560423{col 67}{space 3} .4983389
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4327752{col 26}{space 2} .0342585{col 37}{space 1}   12.63{col 46}{space 3}0.000{col 54}{space 4} .3656299{col 67}{space 3} .4999206
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(bar) recastci(rcap) ///
>   ciopts(lw(medthick) color(black)) ///
>   plotopts(barw(.5) color(gs10)) ///
>   xmtick(-.5(.5)1.5) ///
>   ylabel(0(.20).60) ///
>   title(" ") ///
>   ytitle(" ", size(small)) ///
>   graphregion(color(white)) ///
>   saving (contraband_ppgraph.gph, replace)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: e_contraband_dum2_max_duringconf{p_end}
{res}{txt}(note: file contraband_ppgraph.gph not found)
{res}{txt}(file contraband_ppgraph.gph saved)

{com}. 
. * Combine all 3 graphs into one figure 
. * Final Figure 2
. #delimit;
{txt}delimiter now ;
{com}. graph combine ethnic_ppgraph.gph sanctuary_ppgraph.gph contraband_ppgraph.gph,
>   col(3)
>   subtitle("", size(medsmall))
>   graphregion(color(white))
>   note("Note: 95% Confidence Intervals reported.", size(small)) 
>   ;
{res}{txt}
{com}. #delimit cr
{txt}delimiter now cr
{com}. graph export Figure2.eps
{txt}(file Figure2.eps written in EPS format)

{com}. 
. *********************
. *** Heckman Model ***
. *********************
. 
. clear 
{txt}
{com}. use Selling_Out_or_Standing_Firm_dyadyearlevel_forheckman.dta
{txt}
{com}. 
. * Main DV 
. heckman public_proportion2 ethnic_all_dum conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , select(outcomenew = battle_deaths_log reb_number_dum conf_type_eth_y  total_un_log aes_troops_dum bes_troops_dum i.regime ethnic_all_dum_yearly wdigdppc_log count count2 count3 ) cluster(dyad_id)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-212.68925}  
Iteration 1:{space 3}log pseudolikelihood = {res:-212.68925}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}     1,016
{txt}(regression model with sample selection)              Selected    = {res}        70
                                                {txt}      Nonselected = {res}       946

                                                {txt}Wald chi2({res}6{txt})      =  {res}    25.97
{txt}Log pseudolikelihood = {res}-212.6892                {txt}Prob > chi2       =     {res}0.0002

{txt}{ralign 84:(Std. Err. adjusted for {res:241} clusters in dyad_id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}public_proportion2 {txt}{c |}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2} .1483187{col 32}{space 2} .0578801{col 43}{space 1}    2.56{col 52}{space 3}0.010{col 60}{space 4} .0348758{col 73}{space 3} .2617615
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2}  .111675{col 32}{space 2} .0756157{col 43}{space 1}    1.48{col 52}{space 3}0.140{col 60}{space 4} -.036529{col 73}{space 3} .2598791
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0479786{col 32}{space 2} .0578706{col 43}{space 1}    0.83{col 52}{space 3}0.407{col 60}{space 4}-.0654458{col 73}{space 3} .1614029
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .0989867{col 32}{space 2} .0510955{col 43}{space 1}    1.94{col 52}{space 3}0.053{col 60}{space 4}-.0011586{col 73}{space 3} .1991319
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2}-.0113999{col 32}{space 2} .0441983{col 43}{space 1}   -0.26{col 52}{space 3}0.796{col 60}{space 4}-.0980269{col 73}{space 3} .0752271
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.1255091{col 32}{space 2} .0504743{col 43}{space 1}   -2.49{col 52}{space 3}0.013{col 60}{space 4}-.2244368{col 73}{space 3}-.0265814
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .3182691{col 32}{space 2} .1826374{col 43}{space 1}    1.74{col 52}{space 3}0.081{col 60}{space 4}-.0396937{col 73}{space 3} .6762319
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}outcomenew         {txt}{c |}
{space 1}battle_deaths_log {c |}{col 20}{res}{space 2}-.0846571{col 32}{space 2} .0473101{col 43}{space 1}   -1.79{col 52}{space 3}0.074{col 60}{space 4}-.1773832{col 73}{space 3}  .008069
{txt}{space 4}reb_number_dum {c |}{col 20}{res}{space 2} .2328444{col 32}{space 2} .1392623{col 43}{space 1}    1.67{col 52}{space 3}0.095{col 60}{space 4}-.0401047{col 73}{space 3} .5057935
{txt}{space 3}conf_type_eth_y {c |}{col 20}{res}{space 2}-.0352334{col 32}{space 2} .1632258{col 43}{space 1}   -0.22{col 52}{space 3}0.829{col 60}{space 4}  -.35515{col 73}{space 3} .2846832
{txt}{space 6}total_un_log {c |}{col 20}{res}{space 2} .0954824{col 32}{space 2} .0254242{col 43}{space 1}    3.76{col 52}{space 3}0.000{col 60}{space 4} .0456519{col 73}{space 3} .1453129
{txt}{space 4}aes_troops_dum {c |}{col 20}{res}{space 2} .1628738{col 32}{space 2} .2323298{col 43}{space 1}    0.70{col 52}{space 3}0.483{col 60}{space 4}-.2924842{col 73}{space 3} .6182318
{txt}{space 4}bes_troops_dum {c |}{col 20}{res}{space 2}-.3916205{col 32}{space 2} .2858202{col 43}{space 1}   -1.37{col 52}{space 3}0.171{col 60}{space 4}-.9518177{col 73}{space 3} .1685767
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .0076249{col 32}{space 2}   .25253{col 43}{space 1}    0.03{col 52}{space 3}0.976{col 60}{space 4}-.4873249{col 73}{space 3} .5025746
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .3268374{col 32}{space 2} .2145253{col 43}{space 1}    1.52{col 52}{space 3}0.128{col 60}{space 4}-.0936245{col 73}{space 3} .7472992
{txt}{space 18} {c |}
ethnic_all_dum_y~y {c |}{col 20}{res}{space 2}-.1579051{col 32}{space 2} .1555662{col 43}{space 1}   -1.02{col 52}{space 3}0.310{col 60}{space 4}-.4628092{col 73}{space 3}  .146999
{txt}{space 6}wdigdppc_log {c |}{col 20}{res}{space 2}-.2177649{col 32}{space 2} .0692158{col 43}{space 1}   -3.15{col 52}{space 3}0.002{col 60}{space 4}-.3534253{col 73}{space 3}-.0821044
{txt}{space 13}count {c |}{col 20}{res}{space 2} .0300825{col 32}{space 2} .0628357{col 43}{space 1}    0.48{col 52}{space 3}0.632{col 60}{space 4}-.0930731{col 73}{space 3} .1532382
{txt}{space 12}count2 {c |}{col 20}{res}{space 2}-.0006603{col 32}{space 2} .0052507{col 43}{space 1}   -0.13{col 52}{space 3}0.900{col 60}{space 4}-.0109514{col 73}{space 3} .0096309
{txt}{space 12}count3 {c |}{col 20}{res}{space 2} -.000029{col 32}{space 2} .0001164{col 43}{space 1}   -0.25{col 52}{space 3}0.804{col 60}{space 4}-.0002572{col 73}{space 3} .0001993
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  .046357{col 32}{space 2}  .629797{col 43}{space 1}    0.07{col 52}{space 3}0.941{col 60}{space 4}-1.188023{col 73}{space 3} 1.280736
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/athrho {c |}{col 20}{res}{space 2} .0017799{col 32}{space 2} .5687211{col 43}{space 1}    0.00{col 52}{space 3}0.998{col 60}{space 4}-1.112893{col 73}{space 3} 1.116453
{txt}{space 10}/lnsigma {c |}{col 20}{res}{space 2}-1.632801{col 32}{space 2} .0743398{col 43}{space 1}  -21.96{col 52}{space 3}0.000{col 60}{space 4}-1.778504{col 73}{space 3}-1.487098
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               rho {c |}{col 20}{res}{space 2} .0017799{col 32}{space 2} .5687193{col 60}{space 4}-.8050826{col 73}{space 3} .8063315
{txt}             sigma {c |}{col 20}{res}{space 2} .1953816{col 32}{space 2} .0145246{col 60}{space 4} .1688906{col 73}{space 3} .2260277
{txt}            lambda {c |}{col 20}{res}{space 2} .0003478{col 32}{space 2} .1111252{col 60}{space 4}-.2174537{col 73}{space 3} .2181492
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    0.00   {txt}Prob > chi2 = {res}0.9975
{txt}
{com}. estimate store m13
{txt}
{com}. heckman public_proportion2 bes_sanctuary_max_dur conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , select(outcomenew = battle_deaths_log reb_number_dum conf_type_eth_y  total_un_log aes_troops_dum bes_troops_dum i.regime bes_sanctuary wdigdppc_log count count2 count3 ) cluster(dyad_id)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-214.81763}  
Iteration 1:{space 3}log pseudolikelihood = {res:-214.78684}  
Iteration 2:{space 3}log pseudolikelihood = {res:-214.78676}  
Iteration 3:{space 3}log pseudolikelihood = {res:-214.78676}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}     1,016
{txt}(regression model with sample selection)              Selected    = {res}        70
                                                {txt}      Nonselected = {res}       946

                                                {txt}Wald chi2({res}6{txt})      =  {res}    25.27
{txt}Log pseudolikelihood = {res}-214.7868                {txt}Prob > chi2       =     {res}0.0003

{txt}{ralign 84:(Std. Err. adjusted for {res:241} clusters in dyad_id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}public_proportion2 {txt}{c |}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}-.1013097{col 32}{space 2} .0527094{col 43}{space 1}   -1.92{col 52}{space 3}0.055{col 60}{space 4}-.2046182{col 73}{space 3} .0019987
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .1444477{col 32}{space 2} .0845907{col 43}{space 1}    1.71{col 52}{space 3}0.088{col 60}{space 4} -.021347{col 73}{space 3} .3102424
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0532019{col 32}{space 2} .0512633{col 43}{space 1}    1.04{col 52}{space 3}0.299{col 60}{space 4}-.0472724{col 73}{space 3} .1536762
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .1077302{col 32}{space 2} .0508523{col 43}{space 1}    2.12{col 52}{space 3}0.034{col 60}{space 4} .0080615{col 73}{space 3} .2073989
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .0455767{col 32}{space 2} .0439885{col 43}{space 1}    1.04{col 52}{space 3}0.300{col 60}{space 4}-.0406392{col 73}{space 3} .1317925
{txt}{space 6}conventional {c |}{col 20}{res}{space 2} -.141841{col 32}{space 2} .0515632{col 43}{space 1}   -2.75{col 52}{space 3}0.006{col 60}{space 4} -.242903{col 73}{space 3} -.040779
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4306355{col 32}{space 2} .2206541{col 43}{space 1}    1.95{col 52}{space 3}0.051{col 60}{space 4}-.0018386{col 73}{space 3} .8631096
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}outcomenew         {txt}{c |}
{space 1}battle_deaths_log {c |}{col 20}{res}{space 2}-.0857895{col 32}{space 2} .0471626{col 43}{space 1}   -1.82{col 52}{space 3}0.069{col 60}{space 4}-.1782266{col 73}{space 3} .0066475
{txt}{space 4}reb_number_dum {c |}{col 20}{res}{space 2} .2338411{col 32}{space 2} .1386157{col 43}{space 1}    1.69{col 52}{space 3}0.092{col 60}{space 4}-.0378406{col 73}{space 3} .5055229
{txt}{space 3}conf_type_eth_y {c |}{col 20}{res}{space 2}-.0961483{col 32}{space 2}  .148751{col 43}{space 1}   -0.65{col 52}{space 3}0.518{col 60}{space 4} -.387695{col 73}{space 3} .1953984
{txt}{space 6}total_un_log {c |}{col 20}{res}{space 2} .0937272{col 32}{space 2} .0233017{col 43}{space 1}    4.02{col 52}{space 3}0.000{col 60}{space 4} .0480566{col 73}{space 3} .1393978
{txt}{space 4}aes_troops_dum {c |}{col 20}{res}{space 2} .1398142{col 32}{space 2} .2429817{col 43}{space 1}    0.58{col 52}{space 3}0.565{col 60}{space 4}-.3364211{col 73}{space 3} .6160495
{txt}{space 4}bes_troops_dum {c |}{col 20}{res}{space 2}-.4036096{col 32}{space 2}  .266463{col 43}{space 1}   -1.51{col 52}{space 3}0.130{col 60}{space 4}-.9258674{col 73}{space 3} .1186482
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .0343584{col 32}{space 2} .2685223{col 43}{space 1}    0.13{col 52}{space 3}0.898{col 60}{space 4}-.4919355{col 73}{space 3} .5606523
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .3151407{col 32}{space 2} .2062109{col 43}{space 1}    1.53{col 52}{space 3}0.126{col 60}{space 4}-.0890253{col 73}{space 3} .7193066
{txt}{space 18} {c |}
{space 5}bes_sanctuary {c |}{col 20}{res}{space 2}-.0622401{col 32}{space 2}  .151225{col 43}{space 1}   -0.41{col 52}{space 3}0.681{col 60}{space 4}-.3586357{col 73}{space 3} .2341555
{txt}{space 6}wdigdppc_log {c |}{col 20}{res}{space 2}-.2228295{col 32}{space 2} .0724013{col 43}{space 1}   -3.08{col 52}{space 3}0.002{col 60}{space 4}-.3647335{col 73}{space 3}-.0809255
{txt}{space 13}count {c |}{col 20}{res}{space 2} .0222146{col 32}{space 2} .0644516{col 43}{space 1}    0.34{col 52}{space 3}0.730{col 60}{space 4}-.1041082{col 73}{space 3} .1485374
{txt}{space 12}count2 {c |}{col 20}{res}{space 2}-.0001787{col 32}{space 2} .0054919{col 43}{space 1}   -0.03{col 52}{space 3}0.974{col 60}{space 4}-.0109426{col 73}{space 3} .0105853
{txt}{space 12}count3 {c |}{col 20}{res}{space 2}-.0000381{col 32}{space 2} .0001231{col 43}{space 1}   -0.31{col 52}{space 3}0.757{col 60}{space 4}-.0002794{col 73}{space 3} .0002031
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .0956955{col 32}{space 2} .6637241{col 43}{space 1}    0.14{col 52}{space 3}0.885{col 60}{space 4} -1.20518{col 73}{space 3} 1.396571
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/athrho {c |}{col 20}{res}{space 2}-.1891833{col 32}{space 2} .6033565{col 43}{space 1}   -0.31{col 52}{space 3}0.754{col 60}{space 4} -1.37174{col 73}{space 3} .9933737
{txt}{space 10}/lnsigma {c |}{col 20}{res}{space 2}-1.595993{col 32}{space 2} .0894706{col 43}{space 1}  -17.84{col 52}{space 3}0.000{col 60}{space 4}-1.771352{col 73}{space 3}-1.420634
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               rho {c |}{col 20}{res}{space 2}-.1869582{col 32}{space 2} .5822672{col 60}{space 4}-.8790882{col 73}{space 3} .7587972
{txt}             sigma {c |}{col 20}{res}{space 2} .2027071{col 32}{space 2} .0181363{col 60}{space 4} .1701028{col 73}{space 3} .2415608
{txt}            lambda {c |}{col 20}{res}{space 2}-.0378977{col 32}{space 2} .1198588{col 60}{space 4}-.2728167{col 73}{space 3} .1970212
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    0.10   {txt}Prob > chi2 = {res}0.7539
{txt}
{com}. estimate store m14
{txt}
{com}. heckman public_proportion2 e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , select(outcomenew = battle_deaths_log reb_number_dum conf_type_eth_y  total_un_log aes_troops_dum bes_troops_dum i.regime e_contraband_dum2 wdigdppc_log count count2 count3 ) cluster(dyad_id)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-210.34488}  
Iteration 1:{space 3}log pseudolikelihood = {res:-210.27459}  
Iteration 2:{space 3}log pseudolikelihood = {res:-210.27417}  
Iteration 3:{space 3}log pseudolikelihood = {res:-210.27417}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}       948
{txt}(regression model with sample selection)              Selected    = {res}        70
                                                {txt}      Nonselected = {res}       878

                                                {txt}Wald chi2({res}6{txt})      =  {res}    23.72
{txt}Log pseudolikelihood = {res}-210.2742                {txt}Prob > chi2       =     {res}0.0006

{txt}{ralign 84:(Std. Err. adjusted for {res:227} clusters in dyad_id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}public_proportion2 {txt}{c |}
e_contraband_dum~f {c |}{col 20}{res}{space 2} .0125673{col 32}{space 2} .0555306{col 43}{space 1}    0.23{col 52}{space 3}0.821{col 60}{space 4}-.0962707{col 73}{space 3} .1214053
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .1373938{col 32}{space 2} .0890902{col 43}{space 1}    1.54{col 52}{space 3}0.123{col 60}{space 4}-.0372198{col 73}{space 3} .3120073
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0600948{col 32}{space 2} .0583254{col 43}{space 1}    1.03{col 52}{space 3}0.303{col 60}{space 4}-.0542209{col 73}{space 3} .1744106
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2}  .098998{col 32}{space 2} .0551924{col 43}{space 1}    1.79{col 52}{space 3}0.073{col 60}{space 4}-.0091771{col 73}{space 3} .2071731
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .0404418{col 32}{space 2} .0458486{col 43}{space 1}    0.88{col 52}{space 3}0.378{col 60}{space 4}-.0494197{col 73}{space 3} .1303034
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.1349137{col 32}{space 2} .0553153{col 43}{space 1}   -2.44{col 52}{space 3}0.015{col 60}{space 4}-.2433296{col 73}{space 3}-.0264978
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .2139666{col 32}{space 2} .2239018{col 43}{space 1}    0.96{col 52}{space 3}0.339{col 60}{space 4}-.2248728{col 73}{space 3}  .652806
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}outcomenew         {txt}{c |}
{space 1}battle_deaths_log {c |}{col 20}{res}{space 2}-.0867749{col 32}{space 2} .0495273{col 43}{space 1}   -1.75{col 52}{space 3}0.080{col 60}{space 4}-.1838465{col 73}{space 3} .0102968
{txt}{space 4}reb_number_dum {c |}{col 20}{res}{space 2} .2124462{col 32}{space 2} .1444718{col 43}{space 1}    1.47{col 52}{space 3}0.141{col 60}{space 4}-.0707134{col 73}{space 3} .4956058
{txt}{space 3}conf_type_eth_y {c |}{col 20}{res}{space 2}-.1524577{col 32}{space 2}  .155278{col 43}{space 1}   -0.98{col 52}{space 3}0.326{col 60}{space 4}-.4567971{col 73}{space 3} .1518816
{txt}{space 6}total_un_log {c |}{col 20}{res}{space 2} .0776768{col 32}{space 2} .0313953{col 43}{space 1}    2.47{col 52}{space 3}0.013{col 60}{space 4} .0161432{col 73}{space 3} .1392104
{txt}{space 4}aes_troops_dum {c |}{col 20}{res}{space 2} .3355874{col 32}{space 2} .2688935{col 43}{space 1}    1.25{col 52}{space 3}0.212{col 60}{space 4}-.1914341{col 73}{space 3} .8626089
{txt}{space 4}bes_troops_dum {c |}{col 20}{res}{space 2}-.4835731{col 32}{space 2} .2834706{col 43}{space 1}   -1.71{col 52}{space 3}0.088{col 60}{space 4}-1.039165{col 73}{space 3}  .072019
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2} -.085581{col 32}{space 2} .3046276{col 43}{space 1}   -0.28{col 52}{space 3}0.779{col 60}{space 4}-.6826401{col 73}{space 3} .5114781
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .2445402{col 32}{space 2} .2483169{col 43}{space 1}    0.98{col 52}{space 3}0.325{col 60}{space 4}-.2421519{col 73}{space 3} .7312324
{txt}{space 18} {c |}
{space 1}e_contraband_dum2 {c |}{col 20}{res}{space 2}-.1525327{col 32}{space 2} .2022915{col 43}{space 1}   -0.75{col 52}{space 3}0.451{col 60}{space 4}-.5490167{col 73}{space 3} .2439513
{txt}{space 6}wdigdppc_log {c |}{col 20}{res}{space 2}-.2514914{col 32}{space 2}  .077291{col 43}{space 1}   -3.25{col 52}{space 3}0.001{col 60}{space 4} -.402979{col 73}{space 3}-.1000038
{txt}{space 13}count {c |}{col 20}{res}{space 2} .0424654{col 32}{space 2} .0691591{col 43}{space 1}    0.61{col 52}{space 3}0.539{col 60}{space 4}-.0930839{col 73}{space 3} .1780147
{txt}{space 12}count2 {c |}{col 20}{res}{space 2} -.001552{col 32}{space 2} .0054959{col 43}{space 1}   -0.28{col 52}{space 3}0.778{col 60}{space 4}-.0123238{col 73}{space 3} .0092198
{txt}{space 12}count3 {c |}{col 20}{res}{space 2}-.0000102{col 32}{space 2} .0001172{col 43}{space 1}   -0.09{col 52}{space 3}0.931{col 60}{space 4}-.0002399{col 73}{space 3} .0002196
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4343792{col 32}{space 2} .7391003{col 43}{space 1}    0.59{col 52}{space 3}0.557{col 60}{space 4}-1.014231{col 73}{space 3} 1.882989
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/athrho {c |}{col 20}{res}{space 2} .2696875{col 32}{space 2} .6721224{col 43}{space 1}    0.40{col 52}{space 3}0.688{col 60}{space 4}-1.047648{col 73}{space 3} 1.587023
{txt}{space 10}/lnsigma {c |}{col 20}{res}{space 2}-1.559789{col 32}{space 2} .1698965{col 43}{space 1}   -9.18{col 52}{space 3}0.000{col 60}{space 4} -1.89278{col 73}{space 3}-1.226798
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               rho {c |}{col 20}{res}{space 2}  .263334{col 32}{space 2} .6255142{col 60}{space 4}-.7808903{col 73}{space 3} .9196917
{txt}             sigma {c |}{col 20}{res}{space 2} .2101804{col 32}{space 2} .0357089{col 60}{space 4} .1506524{col 73}{space 3} .2932299
{txt}            lambda {c |}{col 20}{res}{space 2} .0553476{col 32}{space 2} .1400389{col 60}{space 4}-.2191235{col 73}{space 3} .3298188
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    0.16   {txt}Prob > chi2 = {res}0.6882
{txt}
{com}. estimate store m15
{txt}
{com}. 
. *********************
. ****** Table 2 ******
. *********************
. #delimit;
{txt}delimiter now ;
{com}. esttab m13 m14 m15 using table2.rtf, replace
>   modelwidth(7) se label nogaps nonotes title(Table 2: Heckman and Matching Results) 
>   addnote(Robust standard errors in parentheses. *p<0.10, **p<0.05, ***p<0.01.) 
>   nonumbers mtitles("Model 1" "Model 2" "Model 3")  
>   star(* 0.10 ** .05 *** .01) ;
{res}{txt}(note: file table2.rtf not found)
(output written to {browse  `"table2.rtf"'})

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. *********************
. ****** Table 3 ******
. *********************
. 
. clear
{txt}
{com}. use Selling_Out_or_Standing_Firm_processlevel.dta
{txt}
{com}. 
. fracreg logit public_proportion2 ethnic_all_dum conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional i.regime i.third_party_cat , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-54.707996}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.245108}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.226553}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.226546}  
Iteration 4:{space 3}log pseudolikelihood = {res:-48.226546}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     44.86
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-48.226546{txt}{col 49}Pseudo R2{col 67}= {res}    0.0589

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2}  .475575{col 32}{space 2} .2408521{col 43}{space 1}    1.97{col 52}{space 3}0.048{col 60}{space 4} .0035135{col 73}{space 3} .9476365
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5158464{col 32}{space 2} .2520175{col 43}{space 1}    2.05{col 52}{space 3}0.041{col 60}{space 4} .0219012{col 73}{space 3} 1.009792
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}-.1190606{col 32}{space 2} .1606242{col 43}{space 1}   -0.74{col 52}{space 3}0.459{col 60}{space 4}-.4338782{col 73}{space 3} .1957569
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .3218299{col 32}{space 2}  .196333{col 43}{space 1}    1.64{col 52}{space 3}0.101{col 60}{space 4}-.0629757{col 73}{space 3} .7066355
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .3814754{col 32}{space 2} .2256693{col 43}{space 1}    1.69{col 52}{space 3}0.091{col 60}{space 4}-.0608283{col 73}{space 3} .8237791
{txt}{space 6}conventional {c |}{col 20}{res}{space 2} -.370256{col 32}{space 2} .2162096{col 43}{space 1}   -1.71{col 52}{space 3}0.087{col 60}{space 4} -.794019{col 73}{space 3}  .053507
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .3840632{col 32}{space 2} .3826954{col 43}{space 1}    1.00{col 52}{space 3}0.316{col 60}{space 4} -.366006{col 73}{space 3} 1.134132
{txt}{space 16}2  {c |}{col 20}{res}{space 2}-.3969332{col 32}{space 2} .3854829{col 43}{space 1}   -1.03{col 52}{space 3}0.303{col 60}{space 4}-1.152466{col 73}{space 3} .3585994
{txt}{space 18} {c |}
{space 3}third_party_cat {c |}
{space 16}1  {c |}{col 20}{res}{space 2}  .198793{col 32}{space 2} .3195046{col 43}{space 1}    0.62{col 52}{space 3}0.534{col 60}{space 4}-.4274245{col 73}{space 3} .8250106
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .2085942{col 32}{space 2} .3169878{col 43}{space 1}    0.66{col 52}{space 3}0.511{col 60}{space 4}-.4126905{col 73}{space 3} .8298789
{txt}{space 16}3  {c |}{col 20}{res}{space 2} .4804774{col 32}{space 2} .3296649{col 43}{space 1}    1.46{col 52}{space 3}0.145{col 60}{space 4}-.1656538{col 73}{space 3} 1.126609
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-.7962724{col 32}{space 2} .3377656{col 43}{space 1}   -2.36{col 52}{space 3}0.018{col 60}{space 4}-1.458281{col 73}{space 3}-.1342641
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m7
{txt}
{com}. fracreg logit public_proportion2 bes_sanctuary conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional i.regime i.third_party_cat, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -54.72841}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.281714}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.260018}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.260008}  
Iteration 4:{space 3}log pseudolikelihood = {res:-48.260008}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     46.44
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-48.260008{txt}{col 49}Pseudo R2{col 67}= {res}    0.0583

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}-.4376357{col 32}{space 2} .2139792{col 43}{space 1}   -2.05{col 52}{space 3}0.041{col 60}{space 4}-.8570273{col 73}{space 3}-.0182441
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5702421{col 32}{space 2} .2700105{col 43}{space 1}    2.11{col 52}{space 3}0.035{col 60}{space 4} .0410313{col 73}{space 3} 1.099453
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}-.0369718{col 32}{space 2} .1492401{col 43}{space 1}   -0.25{col 52}{space 3}0.804{col 60}{space 4} -.329477{col 73}{space 3} .2555335
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .2918857{col 32}{space 2} .1866188{col 43}{space 1}    1.56{col 52}{space 3}0.118{col 60}{space 4}-.0738803{col 73}{space 3} .6576518
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .4524976{col 32}{space 2} .2162131{col 43}{space 1}    2.09{col 52}{space 3}0.036{col 60}{space 4} .0287277{col 73}{space 3} .8762676
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.4821944{col 32}{space 2} .2143758{col 43}{space 1}   -2.25{col 52}{space 3}0.024{col 60}{space 4}-.9023632{col 73}{space 3}-.0620255
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .4770172{col 32}{space 2} .3941384{col 43}{space 1}    1.21{col 52}{space 3}0.226{col 60}{space 4}-.2954799{col 73}{space 3} 1.249514
{txt}{space 16}2  {c |}{col 20}{res}{space 2}-.1532251{col 32}{space 2} .4207067{col 43}{space 1}   -0.36{col 52}{space 3}0.716{col 60}{space 4} -.977795{col 73}{space 3} .6713448
{txt}{space 18} {c |}
{space 3}third_party_cat {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .1663691{col 32}{space 2} .3457391{col 43}{space 1}    0.48{col 52}{space 3}0.630{col 60}{space 4}-.5112671{col 73}{space 3} .8440054
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .3488106{col 32}{space 2} .2982246{col 43}{space 1}    1.17{col 52}{space 3}0.242{col 60}{space 4}-.2356988{col 73}{space 3} .9333201
{txt}{space 16}3  {c |}{col 20}{res}{space 2} .5204791{col 32}{space 2} .3039933{col 43}{space 1}    1.71{col 52}{space 3}0.087{col 60}{space 4}-.0753368{col 73}{space 3} 1.116295
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-.7436996{col 32}{space 2} .4187369{col 43}{space 1}   -1.78{col 52}{space 3}0.076{col 60}{space 4}-1.564409{col 73}{space 3} .0770097
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m8
{txt}
{com}. fracreg logit public_proportion2 e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional i.regime i.third_party_cat, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -54.83627}  
Iteration 1:{space 3}log pseudolikelihood = {res: -48.54788}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.530418}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.530411}  
Iteration 4:{space 3}log pseudolikelihood = {res:-48.530411}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     38.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-48.530411{txt}{col 49}Pseudo R2{col 67}= {res}    0.0530

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
e_contraband_dum~f {c |}{col 20}{res}{space 2} -.174531{col 32}{space 2} .2280928{col 43}{space 1}   -0.77{col 52}{space 3}0.444{col 60}{space 4}-.6215846{col 73}{space 3} .2725226
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .4947053{col 32}{space 2} .2777046{col 43}{space 1}    1.78{col 52}{space 3}0.075{col 60}{space 4}-.0495858{col 73}{space 3} 1.038996
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}-.0035934{col 32}{space 2} .1508271{col 43}{space 1}   -0.02{col 52}{space 3}0.981{col 60}{space 4}-.2992091{col 73}{space 3} .2920223
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .2691171{col 32}{space 2} .1963811{col 43}{space 1}    1.37{col 52}{space 3}0.171{col 60}{space 4}-.1157828{col 73}{space 3}  .654017
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .4982127{col 32}{space 2} .2245948{col 43}{space 1}    2.22{col 52}{space 3}0.027{col 60}{space 4}  .058015{col 73}{space 3} .9384104
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.3686467{col 32}{space 2} .2215497{col 43}{space 1}   -1.66{col 52}{space 3}0.096{col 60}{space 4} -.802876{col 73}{space 3} .0655827
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .2502231{col 32}{space 2} .3702676{col 43}{space 1}    0.68{col 52}{space 3}0.499{col 60}{space 4} -.475488{col 73}{space 3} .9759341
{txt}{space 16}2  {c |}{col 20}{res}{space 2}-.5607354{col 32}{space 2} .4067299{col 43}{space 1}   -1.38{col 52}{space 3}0.168{col 60}{space 4}-1.357911{col 73}{space 3} .2364405
{txt}{space 18} {c |}
{space 3}third_party_cat {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .2786891{col 32}{space 2} .3354379{col 43}{space 1}    0.83{col 52}{space 3}0.406{col 60}{space 4}-.3787571{col 73}{space 3} .9361353
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .3687554{col 32}{space 2} .2995649{col 43}{space 1}    1.23{col 52}{space 3}0.218{col 60}{space 4}-.2183811{col 73}{space 3} .9558919
{txt}{space 16}3  {c |}{col 20}{res}{space 2} .6720544{col 32}{space 2} .3264631{col 43}{space 1}    2.06{col 52}{space 3}0.040{col 60}{space 4} .0321986{col 73}{space 3}  1.31191
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-.7384776{col 32}{space 2} .4414613{col 43}{space 1}   -1.67{col 52}{space 3}0.094{col 60}{space 4}-1.603726{col 73}{space 3} .1267707
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m9
{txt}
{com}. fracreg logit public_proportion2_inc ethnic_all_dum conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional i.regime i.third_party_cat , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -50.96846}  
Iteration 1:{space 3}log pseudolikelihood = {res:-47.022481}  
Iteration 2:{space 3}log pseudolikelihood = {res:-46.994381}  
Iteration 3:{space 3}log pseudolikelihood = {res:-46.994347}  
Iteration 4:{space 3}log pseudolikelihood = {res:-46.994347}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     60.39
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-46.994347{txt}{col 49}Pseudo R2{col 67}= {res}    0.0907

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportio~c{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2}  .546848{col 32}{space 2}   .26221{col 43}{space 1}    2.09{col 52}{space 3}0.037{col 60}{space 4} .0329258{col 73}{space 3}  1.06077
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .4546125{col 32}{space 2} .2756354{col 43}{space 1}    1.65{col 52}{space 3}0.099{col 60}{space 4}-.0856228{col 73}{space 3} .9948479
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}-.1286724{col 32}{space 2} .1738685{col 43}{space 1}   -0.74{col 52}{space 3}0.459{col 60}{space 4}-.4694484{col 73}{space 3} .2121037
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .1710184{col 32}{space 2} .2188419{col 43}{space 1}    0.78{col 52}{space 3}0.435{col 60}{space 4}-.2579038{col 73}{space 3} .5999406
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} 1.135245{col 32}{space 2} .2790694{col 43}{space 1}    4.07{col 52}{space 3}0.000{col 60}{space 4} .5882794{col 73}{space 3} 1.682211
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.3037273{col 32}{space 2}  .224322{col 43}{space 1}   -1.35{col 52}{space 3}0.176{col 60}{space 4}-.7433904{col 73}{space 3} .1359358
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2}  .384226{col 32}{space 2} .4378558{col 43}{space 1}    0.88{col 52}{space 3}0.380{col 60}{space 4}-.4739556{col 73}{space 3} 1.242408
{txt}{space 16}2  {c |}{col 20}{res}{space 2}-.5944908{col 32}{space 2} .4760084{col 43}{space 1}   -1.25{col 52}{space 3}0.212{col 60}{space 4} -1.52745{col 73}{space 3} .3384686
{txt}{space 18} {c |}
{space 3}third_party_cat {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .4304318{col 32}{space 2} .3488556{col 43}{space 1}    1.23{col 52}{space 3}0.217{col 60}{space 4}-.2533126{col 73}{space 3} 1.114176
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .5842481{col 32}{space 2} .3684406{col 43}{space 1}    1.59{col 52}{space 3}0.113{col 60}{space 4}-.1378823{col 73}{space 3} 1.306378
{txt}{space 16}3  {c |}{col 20}{res}{space 2} .7773576{col 32}{space 2} .3770118{col 43}{space 1}    2.06{col 52}{space 3}0.039{col 60}{space 4}  .038428{col 73}{space 3} 1.516287
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-.8709081{col 32}{space 2} .4009114{col 43}{space 1}   -2.17{col 52}{space 3}0.030{col 60}{space 4} -1.65668{col 73}{space 3}-.0851362
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m10
{txt}
{com}. fracreg logit public_proportion2_inc bes_sanctuary conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional i.regime i.third_party_cat, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-50.890241}  
Iteration 1:{space 3}log pseudolikelihood = {res:-46.822642}  
Iteration 2:{space 3}log pseudolikelihood = {res:-46.795067}  
Iteration 3:{space 3}log pseudolikelihood = {res:-46.795065}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     62.41
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-46.795065{txt}{col 49}Pseudo R2{col 67}= {res}    0.0945

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportio~c{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}  -.62649{col 32}{space 2} .2296094{col 43}{space 1}   -2.73{col 52}{space 3}0.006{col 60}{space 4}-1.076516{col 73}{space 3}-.1764639
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5092508{col 32}{space 2} .2898273{col 43}{space 1}    1.76{col 52}{space 3}0.079{col 60}{space 4}-.0588003{col 73}{space 3} 1.077302
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} -.037953{col 32}{space 2}  .150137{col 43}{space 1}   -0.25{col 52}{space 3}0.800{col 60}{space 4}-.3322161{col 73}{space 3} .2563101
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .1564039{col 32}{space 2} .2086042{col 43}{space 1}    0.75{col 52}{space 3}0.453{col 60}{space 4}-.2524527{col 73}{space 3} .5652606
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} 1.210436{col 32}{space 2} .2736554{col 43}{space 1}    4.42{col 52}{space 3}0.000{col 60}{space 4} .6740816{col 73}{space 3} 1.746791
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.4696234{col 32}{space 2} .2109247{col 43}{space 1}   -2.23{col 52}{space 3}0.026{col 60}{space 4}-.8830283{col 73}{space 3}-.0562186
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .5644102{col 32}{space 2} .4786471{col 43}{space 1}    1.18{col 52}{space 3}0.238{col 60}{space 4}-.3737209{col 73}{space 3} 1.502541
{txt}{space 16}2  {c |}{col 20}{res}{space 2} -.210003{col 32}{space 2} .5315813{col 43}{space 1}   -0.40{col 52}{space 3}0.693{col 60}{space 4}-1.251883{col 73}{space 3} .8318772
{txt}{space 18} {c |}
{space 3}third_party_cat {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .3728765{col 32}{space 2} .3742075{col 43}{space 1}    1.00{col 52}{space 3}0.319{col 60}{space 4}-.3605568{col 73}{space 3}  1.10631
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .7416253{col 32}{space 2} .3605221{col 43}{space 1}    2.06{col 52}{space 3}0.040{col 60}{space 4}  .035015{col 73}{space 3} 1.448236
{txt}{space 16}3  {c |}{col 20}{res}{space 2} .7855241{col 32}{space 2} .3639559{col 43}{space 1}    2.16{col 52}{space 3}0.031{col 60}{space 4} .0721836{col 73}{space 3} 1.498865
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2} -.795271{col 32}{space 2}  .502953{col 43}{space 1}   -1.58{col 52}{space 3}0.114{col 60}{space 4}-1.781041{col 73}{space 3} .1904988
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m11
{txt}
{com}. fracreg logit public_proportion2_inc e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional i.regime i.third_party_cat, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-51.126491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-47.417774}  
Iteration 2:{space 3}log pseudolikelihood = {res:-47.393645}  
Iteration 3:{space 3}log pseudolikelihood = {res:-47.393643}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     48.22
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-47.393643{txt}{col 49}Pseudo R2{col 67}= {res}    0.0830

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportio~c{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
e_contraband_dum~f {c |}{col 20}{res}{space 2}-.1388987{col 32}{space 2} .2555521{col 43}{space 1}   -0.54{col 52}{space 3}0.587{col 60}{space 4}-.6397716{col 73}{space 3} .3619742
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .4637362{col 32}{space 2} .3009815{col 43}{space 1}    1.54{col 52}{space 3}0.123{col 60}{space 4}-.1261768{col 73}{space 3} 1.053649
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0113712{col 32}{space 2} .1604746{col 43}{space 1}    0.07{col 52}{space 3}0.944{col 60}{space 4}-.3031531{col 73}{space 3} .3258956
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .1266007{col 32}{space 2}  .222931{col 43}{space 1}    0.57{col 52}{space 3}0.570{col 60}{space 4} -.310336{col 73}{space 3} .5635374
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} 1.251089{col 32}{space 2} .2854151{col 43}{space 1}    4.38{col 52}{space 3}0.000{col 60}{space 4} .6916861{col 73}{space 3} 1.810493
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.3107827{col 32}{space 2} .2280225{col 43}{space 1}   -1.36{col 52}{space 3}0.173{col 60}{space 4}-.7576987{col 73}{space 3} .1361333
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .2387446{col 32}{space 2} .4337844{col 43}{space 1}    0.55{col 52}{space 3}0.582{col 60}{space 4}-.6114572{col 73}{space 3} 1.088946
{txt}{space 16}2  {c |}{col 20}{res}{space 2}-.7452263{col 32}{space 2} .4994924{col 43}{space 1}   -1.49{col 52}{space 3}0.136{col 60}{space 4}-1.724213{col 73}{space 3} .2337608
{txt}{space 18} {c |}
{space 3}third_party_cat {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .5106404{col 32}{space 2} .3685019{col 43}{space 1}    1.39{col 52}{space 3}0.166{col 60}{space 4}  -.21161{col 73}{space 3} 1.232891
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .7598293{col 32}{space 2} .3614843{col 43}{space 1}    2.10{col 52}{space 3}0.036{col 60}{space 4}  .051333{col 73}{space 3} 1.468326
{txt}{space 16}3  {c |}{col 20}{res}{space 2} .9451822{col 32}{space 2} .3786851{col 43}{space 1}    2.50{col 52}{space 3}0.013{col 60}{space 4} .2029731{col 73}{space 3} 1.687391
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}  -.86087{col 32}{space 2} .5113544{col 43}{space 1}   -1.68{col 52}{space 3}0.092{col 60}{space 4}-1.863106{col 73}{space 3} .1413663
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store m12
{txt}
{com}. 
. **** Table 3 ****
. #delimit;
{txt}delimiter now ;
{com}. esttab m7 m8 m9 m10 m11 m12 using table3.rtf, replace
>   modelwidth(7) se label nogaps nonotes title(Table 3: Additional Controls Results) 
>   addnote(Robust standard errors in parentheses. *p<0.10, **p<0.05, ***p<0.01.) 
>   nonumbers mtitles("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6")  
>   star(* 0.10 ** .05 *** .01) ;
{res}{txt}(note: file table3.rtf not found)
(output written to {browse  `"table3.rtf"'})

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
. ***************************
. *** Online Appendix *******
. ***************************
. ****************************************
. *** Table A1: Descriptive Statistics ***
. ****************************************
. 
. eststo summstats: estpost summarize public_proportion2 public_proportion2_inc public_proportion3 public_proportion2_imp3 ///
>   ethnic_all_dum bes_sanctuary e_contraband_dum2 source3 crime ///
>   conf_type_eth conf_type_terronly rebstrength_cat intensity_dummy conventional osv_state_dum ///
>   regime third_party_cat ethnic_all_comp_dumor bes_materiel_max_duringconf leader_proportion2 previouspeace_dummy days_norm

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:public_pro~2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf: .4478031}}}{space 1}{space 1}{ralign 9:{res:{sf: .0590212}}}{space 1}{space 1}{ralign 9:{res:{sf: .2429428}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:public_pro~c}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf: .5582396}}}{space 1}{space 1}{ralign 9:{res:{sf: .0700885}}}{space 1}{space 1}{ralign 9:{res:{sf: .2647424}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:public_pr~n3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf: .3441083}}}{space 1}{space 1}{ralign 9:{res:{sf: .0505494}}}{space 1}{space 1}{ralign 9:{res:{sf: .2248319}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:public_pr~p3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       76}}}{space 1}{space 1}{ralign 9:{res:{sf:       76}}}{space 1}{space 1}{ralign 9:{res:{sf: .4767231}}}{space 1}{space 1}{ralign 9:{res:{sf: .1491216}}}{space 1}{space 1}{ralign 9:{res:{sf: .3861627}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:ethnic_all~m}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:     .375}}}{space 1}{space 1}{ralign 9:{res:{sf: .2373418}}}{space 1}{space 1}{ralign 9:{res:{sf: .4871774}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:bes_sanctu~f}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:    .4625}}}{space 1}{space 1}{ralign 9:{res:{sf: .2517405}}}{space 1}{space 1}{ralign 9:{res:{sf: .5017375}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:e_contraba~f}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf: .4810127}}}{space 1}{space 1}{ralign 9:{res:{sf:   .25284}}}{space 1}{space 1}{ralign 9:{res:{sf:  .502832}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:source3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       50}}}{space 1}{space 1}{ralign 9:{res:{sf:       50}}}{space 1}{space 1}{ralign 9:{res:{sf:     1.58}}}{space 1}{space 1}{ralign 9:{res:{sf: .3302041}}}{space 1}{space 1}{ralign 9:{res:{sf: .5746339}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}
{space 0}{space 0}{ralign 12:crime}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       50}}}{space 1}{space 1}{ralign 9:{res:{sf:       50}}}{space 1}{space 1}{ralign 9:{res:{sf:      .52}}}{space 1}{space 1}{ralign 9:{res:{sf: .2546939}}}{space 1}{space 1}{ralign 9:{res:{sf:  .504672}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:conf_type_~h}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:    .3125}}}{space 1}{space 1}{ralign 9:{res:{sf: .2175633}}}{space 1}{space 1}{ralign 9:{res:{sf: .4664368}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:conf_type_~y}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:      .15}}}{space 1}{space 1}{ralign 9:{res:{sf: .1291139}}}{space 1}{space 1}{ralign 9:{res:{sf: .3593243}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:rebstrengt~t}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:   1.3875}}}{space 1}{space 1}{ralign 9:{res:{sf: .4175633}}}{space 1}{space 1}{ralign 9:{res:{sf: .6461914}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}
{space 0}{space 0}{ralign 12:intensity_~y}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:     .275}}}{space 1}{space 1}{ralign 9:{res:{sf: .2018987}}}{space 1}{space 1}{ralign 9:{res:{sf: .4493314}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:conventional}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       77}}}{space 1}{space 1}{ralign 9:{res:{sf:       77}}}{space 1}{space 1}{ralign 9:{res:{sf: .3506494}}}{space 1}{space 1}{ralign 9:{res:{sf: .2306904}}}{space 1}{space 1}{ralign 9:{res:{sf: .4803024}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:osv_state_~m}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf: .5696203}}}{space 1}{space 1}{ralign 9:{res:{sf:  .248296}}}{space 1}{space 1}{ralign 9:{res:{sf: .4982931}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:regime}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:     1.25}}}{space 1}{space 1}{ralign 9:{res:{sf: .5696203}}}{space 1}{space 1}{ralign 9:{res:{sf: .7547319}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:third_part~t}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:    1.475}}}{space 1}{space 1}{ralign 9:{res:{sf: .9107595}}}{space 1}{space 1}{ralign 9:{res:{sf: .9543372}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:ethnic_all~r}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       .3}}}{space 1}{space 1}{ralign 9:{res:{sf: .2126582}}}{space 1}{space 1}{ralign 9:{res:{sf: .4611488}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:bes_materi~f}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:     .575}}}{space 1}{space 1}{ralign 9:{res:{sf: .2474684}}}{space 1}{space 1}{ralign 9:{res:{sf: .4974619}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:leader_pro~2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}{space 1}{ralign 9:{res:{sf: .1545477}}}{space 1}{space 1}{ralign 9:{res:{sf: .0289177}}}{space 1}{space 1}{ralign 9:{res:{sf:  .170052}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:previouspe~y}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:    .1875}}}{space 1}{space 1}{ralign 9:{res:{sf: .1542722}}}{space 1}{space 1}{ralign 9:{res:{sf: .3927749}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}
{space 0}{space 0}{ralign 12:days_norm}{space 1}{c |}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:       80}}}{space 1}{space 1}{ralign 9:{res:{sf:  3.97975}}}{space 1}{space 1}{ralign 9:{res:{sf: 20.63583}}}{space 1}{space 1}{ralign 9:{res:{sf: 4.542667}}}{space 1}{space 1}{ralign 9:{res:{sf: .1428571}}}{space 1}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:public_pro~2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 35.37645}}}{space 1}
{space 0}{space 0}{ralign 12:public_pro~c}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 44.10093}}}{space 1}
{space 0}{space 0}{ralign 12:public_pr~n3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 27.18455}}}{space 1}
{space 0}{space 0}{ralign 12:public_pr~p3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 36.23095}}}{space 1}
{space 0}{space 0}{ralign 12:ethnic_all~m}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       30}}}{space 1}
{space 0}{space 0}{ralign 12:bes_sanctu~f}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       37}}}{space 1}
{space 0}{space 0}{ralign 12:e_contraba~f}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       38}}}{space 1}
{space 0}{space 0}{ralign 12:source3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        3}}}{space 1}{space 1}{ralign 9:{res:{sf:       79}}}{space 1}
{space 0}{space 0}{ralign 12:crime}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       26}}}{space 1}
{space 0}{space 0}{ralign 12:conf_type_~h}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       25}}}{space 1}
{space 0}{space 0}{ralign 12:conf_type_~y}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       12}}}{space 1}
{space 0}{space 0}{ralign 12:rebstrengt~t}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        3}}}{space 1}{space 1}{ralign 9:{res:{sf:      111}}}{space 1}
{space 0}{space 0}{ralign 12:intensity_~y}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       22}}}{space 1}
{space 0}{space 0}{ralign 12:conventional}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       27}}}{space 1}
{space 0}{space 0}{ralign 12:osv_state_~m}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       45}}}{space 1}
{space 0}{space 0}{ralign 12:regime}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        2}}}{space 1}{space 1}{ralign 9:{res:{sf:      100}}}{space 1}
{space 0}{space 0}{ralign 12:third_part~t}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        3}}}{space 1}{space 1}{ralign 9:{res:{sf:      118}}}{space 1}
{space 0}{space 0}{ralign 12:ethnic_all~r}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       24}}}{space 1}
{space 0}{space 0}{ralign 12:bes_materi~f}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       46}}}{space 1}
{space 0}{space 0}{ralign 12:leader_pro~2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 12.20927}}}{space 1}
{space 0}{space 0}{ralign 12:previouspe~y}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       15}}}{space 1}
{space 0}{space 0}{ralign 12:days_norm}{space 1}{c |}{space 1}{ralign 9:{res:{sf: 24.63158}}}{space 1}{space 1}{ralign 9:{res:{sf:   318.38}}}{space 1}

{com}. esttab summstats using descriptivestatistics.rtf, replace ///
>   cell((count(label(Obs)) mean(label(Mean)) sd(label(SD)) min(label(Min)) max(label(Max)))) ///
>   label nomtitle nonumber title(Table A1: Descriptive Statistics) 
{res}{txt}(note: file descriptivestatistics.rtf not found)
(output written to {browse  `"descriptivestatistics.rtf"'})

{com}. 
. ******************************************************
. ****** Table 2A Heckman Model with Inclusive DV ******
. ******************************************************
. 
. clear 
{txt}
{com}. use Selling_Out_or_Standing_Firm_dyadyearlevel_forheckman.dta
{txt}
{com}. 
. heckman public_proportion2_inc ethnic_all_dum conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , select(outcomenew = battle_deaths_log reb_number_dum conf_type_eth_y  total_un_log aes_troops_dum bes_troops_dum i.regime ethnic_all_dum_yearly wdigdppc_log count count2 count3 ) cluster(dyad_id)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-216.73748}  
Iteration 1:{space 3}log pseudolikelihood = {res:-216.72406}  
Iteration 2:{space 3}log pseudolikelihood = {res:-216.72399}  
Iteration 3:{space 3}log pseudolikelihood = {res:-216.72399}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}     1,016
{txt}(regression model with sample selection)              Selected    = {res}        70
                                                {txt}      Nonselected = {res}       946

                                                {txt}Wald chi2({res}6{txt})      =  {res}    39.19
{txt}Log pseudolikelihood = {res} -216.724                {txt}Prob > chi2       =     {res}0.0000

{txt}{ralign 84:(Std. Err. adjusted for {res:241} clusters in dyad_id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}public_proportio~c {txt}{c |}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2} .1911776{col 32}{space 2} .0678646{col 43}{space 1}    2.82{col 52}{space 3}0.005{col 60}{space 4} .0581654{col 73}{space 3} .3241897
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2}  .091587{col 32}{space 2}  .087248{col 43}{space 1}    1.05{col 52}{space 3}0.294{col 60}{space 4} -.079416{col 73}{space 3}   .26259
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0815118{col 32}{space 2} .0491882{col 43}{space 1}    1.66{col 52}{space 3}0.097{col 60}{space 4}-.0148953{col 73}{space 3} .1779188
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .0799154{col 32}{space 2} .0527238{col 43}{space 1}    1.52{col 52}{space 3}0.130{col 60}{space 4}-.0234213{col 73}{space 3} .1832522
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .1131181{col 32}{space 2} .0500118{col 43}{space 1}    2.26{col 52}{space 3}0.024{col 60}{space 4} .0150967{col 73}{space 3} .2111395
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.1323509{col 32}{space 2} .0541769{col 43}{space 1}   -2.44{col 52}{space 3}0.015{col 60}{space 4}-.2385356{col 73}{space 3}-.0261662
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .3607525{col 32}{space 2} .2630511{col 43}{space 1}    1.37{col 52}{space 3}0.170{col 60}{space 4} -.154818{col 73}{space 3} .8763231
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}outcomenew         {txt}{c |}
{space 1}battle_deaths_log {c |}{col 20}{res}{space 2}-.0850631{col 32}{space 2} .0474663{col 43}{space 1}   -1.79{col 52}{space 3}0.073{col 60}{space 4}-.1780953{col 73}{space 3} .0079692
{txt}{space 4}reb_number_dum {c |}{col 20}{res}{space 2} .2324357{col 32}{space 2} .1408304{col 43}{space 1}    1.65{col 52}{space 3}0.099{col 60}{space 4}-.0435868{col 73}{space 3} .5084583
{txt}{space 3}conf_type_eth_y {c |}{col 20}{res}{space 2}-.0340015{col 32}{space 2} .1612271{col 43}{space 1}   -0.21{col 52}{space 3}0.833{col 60}{space 4}-.3500007{col 73}{space 3} .2819978
{txt}{space 6}total_un_log {c |}{col 20}{res}{space 2} .0975869{col 32}{space 2} .0297506{col 43}{space 1}    3.28{col 52}{space 3}0.001{col 60}{space 4} .0392768{col 73}{space 3}  .155897
{txt}{space 4}aes_troops_dum {c |}{col 20}{res}{space 2}  .147201{col 32}{space 2} .2468055{col 43}{space 1}    0.60{col 52}{space 3}0.551{col 60}{space 4} -.336529{col 73}{space 3} .6309309
{txt}{space 4}bes_troops_dum {c |}{col 20}{res}{space 2}-.3814153{col 32}{space 2} .2758504{col 43}{space 1}   -1.38{col 52}{space 3}0.167{col 60}{space 4}-.9220722{col 73}{space 3} .1592416
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2}  .026477{col 32}{space 2} .2818235{col 43}{space 1}    0.09{col 52}{space 3}0.925{col 60}{space 4}-.5258869{col 73}{space 3} .5788409
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .3212463{col 32}{space 2} .2136799{col 43}{space 1}    1.50{col 52}{space 3}0.133{col 60}{space 4}-.0975586{col 73}{space 3} .7400511
{txt}{space 18} {c |}
ethnic_all_dum_y~y {c |}{col 20}{res}{space 2}-.1592941{col 32}{space 2} .1564195{col 43}{space 1}   -1.02{col 52}{space 3}0.308{col 60}{space 4}-.4658706{col 73}{space 3} .1472824
{txt}{space 6}wdigdppc_log {c |}{col 20}{res}{space 2}-.2134778{col 32}{space 2}  .079987{col 43}{space 1}   -2.67{col 52}{space 3}0.008{col 60}{space 4}-.3702493{col 73}{space 3}-.0567062
{txt}{space 13}count {c |}{col 20}{res}{space 2} .0267059{col 32}{space 2} .0662751{col 43}{space 1}    0.40{col 52}{space 3}0.687{col 60}{space 4}-.1031909{col 73}{space 3} .1566026
{txt}{space 12}count2 {c |}{col 20}{res}{space 2}-.0003649{col 32}{space 2} .0055329{col 43}{space 1}   -0.07{col 52}{space 3}0.947{col 60}{space 4}-.0112091{col 73}{space 3} .0104793
{txt}{space 12}count3 {c |}{col 20}{res}{space 2}-.0000366{col 32}{space 2} .0001237{col 43}{space 1}   -0.30{col 52}{space 3}0.767{col 60}{space 4} -.000279{col 73}{space 3} .0002057
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .0216472{col 32}{space 2}  .690001{col 43}{space 1}    0.03{col 52}{space 3}0.975{col 60}{space 4} -1.33073{col 73}{space 3} 1.374024
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/athrho {c |}{col 20}{res}{space 2}-.1153178{col 32}{space 2} .8001035{col 43}{space 1}   -0.14{col 52}{space 3}0.885{col 60}{space 4}-1.683492{col 73}{space 3} 1.452856
{txt}{space 10}/lnsigma {c |}{col 20}{res}{space 2}-1.570097{col 32}{space 2} .0842472{col 43}{space 1}  -18.64{col 52}{space 3}0.000{col 60}{space 4}-1.735218{col 73}{space 3}-1.404975
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               rho {c |}{col 20}{res}{space 2}-.1148093{col 32}{space 2} .7895572{col 60}{space 4}-.9333132{col 73}{space 3} .8962562
{txt}             sigma {c |}{col 20}{res}{space 2} .2080251{col 32}{space 2} .0175255{col 60}{space 4} .1763617{col 73}{space 3} .2453731
{txt}            lambda {c |}{col 20}{res}{space 2}-.0238832{col 32}{space 2} .1654777{col 60}{space 4}-.3482136{col 73}{space 3} .3004472
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    0.02   {txt}Prob > chi2 = {res}0.8854
{txt}
{com}. estimate store ms22
{txt}
{com}. heckman public_proportion2_inc bes_sanctuary_max_dur conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , select(outcomenew = battle_deaths_log reb_number_dum conf_type_eth_y  total_un_log aes_troops_dum bes_troops_dum i.regime bes_sanctuary wdigdppc_log count count2 count3 ) cluster(dyad_id)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-219.23304}  
Iteration 1:{space 3}log pseudolikelihood = {res:-219.09202}  
Iteration 2:{space 3}log pseudolikelihood = {res: -219.0846}  
Iteration 3:{space 3}log pseudolikelihood = {res:-219.08459}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}     1,016
{txt}(regression model with sample selection)              Selected    = {res}        70
                                                {txt}      Nonselected = {res}       946

                                                {txt}Wald chi2({res}6{txt})      =  {res}    44.09
{txt}Log pseudolikelihood = {res}-219.0846                {txt}Prob > chi2       =     {res}0.0000

{txt}{ralign 84:(Std. Err. adjusted for {res:241} clusters in dyad_id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}public_proportio~c {txt}{c |}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2} -.138001{col 32}{space 2} .0580385{col 43}{space 1}   -2.38{col 52}{space 3}0.017{col 60}{space 4}-.2517543{col 73}{space 3}-.0242476
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2}  .136397{col 32}{space 2}  .103238{col 43}{space 1}    1.32{col 52}{space 3}0.186{col 60}{space 4}-.0659458{col 73}{space 3} .3387398
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0866497{col 32}{space 2}  .042295{col 43}{space 1}    2.05{col 52}{space 3}0.040{col 60}{space 4}  .003753{col 73}{space 3} .1695463
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .0916355{col 32}{space 2}  .050789{col 43}{space 1}    1.80{col 52}{space 3}0.071{col 60}{space 4}-.0079091{col 73}{space 3} .1911802
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .1869262{col 32}{space 2} .0480768{col 43}{space 1}    3.89{col 52}{space 3}0.000{col 60}{space 4} .0926974{col 73}{space 3}  .281155
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.1531612{col 32}{space 2} .0547443{col 43}{space 1}   -2.80{col 52}{space 3}0.005{col 60}{space 4}-.2604581{col 73}{space 3}-.0458644
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .5288163{col 32}{space 2} .3143046{col 43}{space 1}    1.68{col 52}{space 3}0.092{col 60}{space 4}-.0872094{col 73}{space 3} 1.144842
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}outcomenew         {txt}{c |}
{space 1}battle_deaths_log {c |}{col 20}{res}{space 2} -.083976{col 32}{space 2} .0483674{col 43}{space 1}   -1.74{col 52}{space 3}0.083{col 60}{space 4}-.1787743{col 73}{space 3} .0108223
{txt}{space 4}reb_number_dum {c |}{col 20}{res}{space 2} .2365819{col 32}{space 2} .1349336{col 43}{space 1}    1.75{col 52}{space 3}0.080{col 60}{space 4}-.0278832{col 73}{space 3}  .501047
{txt}{space 3}conf_type_eth_y {c |}{col 20}{res}{space 2}-.0893927{col 32}{space 2}   .14713{col 43}{space 1}   -0.61{col 52}{space 3}0.543{col 60}{space 4}-.3777623{col 73}{space 3} .1989768
{txt}{space 6}total_un_log {c |}{col 20}{res}{space 2} .0971923{col 32}{space 2} .0236038{col 43}{space 1}    4.12{col 52}{space 3}0.000{col 60}{space 4} .0509297{col 73}{space 3} .1434548
{txt}{space 4}aes_troops_dum {c |}{col 20}{res}{space 2} .1096292{col 32}{space 2} .2580936{col 43}{space 1}    0.42{col 52}{space 3}0.671{col 60}{space 4}-.3962249{col 73}{space 3} .6154833
{txt}{space 4}bes_troops_dum {c |}{col 20}{res}{space 2}-.4219789{col 32}{space 2} .2734669{col 43}{space 1}   -1.54{col 52}{space 3}0.123{col 60}{space 4}-.9579641{col 73}{space 3} .1140064
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .0750479{col 32}{space 2} .2997347{col 43}{space 1}    0.25{col 52}{space 3}0.802{col 60}{space 4}-.5124214{col 73}{space 3} .6625172
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .3237977{col 32}{space 2} .2048684{col 43}{space 1}    1.58{col 52}{space 3}0.114{col 60}{space 4} -.077737{col 73}{space 3} .7253324
{txt}{space 18} {c |}
{space 5}bes_sanctuary {c |}{col 20}{res}{space 2}-.0707665{col 32}{space 2} .1523065{col 43}{space 1}   -0.46{col 52}{space 3}0.642{col 60}{space 4}-.3692818{col 73}{space 3} .2277488
{txt}{space 6}wdigdppc_log {c |}{col 20}{res}{space 2}-.2080633{col 32}{space 2} .0944905{col 43}{space 1}   -2.20{col 52}{space 3}0.028{col 60}{space 4}-.3932613{col 73}{space 3}-.0228654
{txt}{space 13}count {c |}{col 20}{res}{space 2}  .013981{col 32}{space 2} .0696544{col 43}{space 1}    0.20{col 52}{space 3}0.841{col 60}{space 4}-.1225391{col 73}{space 3} .1505011
{txt}{space 12}count2 {c |}{col 20}{res}{space 2} .0007405{col 32}{space 2} .0062145{col 43}{space 1}    0.12{col 52}{space 3}0.905{col 60}{space 4}-.0114397{col 73}{space 3} .0129208
{txt}{space 12}count3 {c |}{col 20}{res}{space 2}-.0000628{col 32}{space 2} .0001449{col 43}{space 1}   -0.43{col 52}{space 3}0.665{col 60}{space 4}-.0003468{col 73}{space 3} .0002213
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.0237228{col 32}{space 2} .8317665{col 43}{space 1}   -0.03{col 52}{space 3}0.977{col 60}{space 4}-1.653955{col 73}{space 3}  1.60651
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/athrho {c |}{col 20}{res}{space 2}-.3919837{col 32}{space 2} .8275423{col 43}{space 1}   -0.47{col 52}{space 3}0.636{col 60}{space 4}-2.013937{col 73}{space 3} 1.229969
{txt}{space 10}/lnsigma {c |}{col 20}{res}{space 2}-1.491796{col 32}{space 2} .2102739{col 43}{space 1}   -7.09{col 52}{space 3}0.000{col 60}{space 4}-1.903926{col 73}{space 3}-1.079667
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               rho {c |}{col 20}{res}{space 2}-.3730691{col 32}{space 2} .7123645{col 60}{space 4}-.9649991{col 73}{space 3} .8425705
{txt}             sigma {c |}{col 20}{res}{space 2} .2249682{col 32}{space 2} .0473049{col 60}{space 4} .1489826{col 73}{space 3} .3397086
{txt}            lambda {c |}{col 20}{res}{space 2}-.0839287{col 32}{space 2}  .176734{col 60}{space 4} -.430321{col 73}{space 3} .2624637
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    0.22   {txt}Prob > chi2 = {res}0.6357
{txt}
{com}. estimate store ms23
{txt}
{com}. heckman public_proportion2_inc e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , select(outcomenew = battle_deaths_log reb_number_dum conf_type_eth_y  total_un_log aes_troops_dum bes_troops_dum i.regime e_contraband_dum2 wdigdppc_log count count2 count3 ) cluster(dyad_id)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-215.47414}  
Iteration 1:{space 3}log pseudolikelihood = {res:-215.37754}  
Iteration 2:{space 3}log pseudolikelihood = {res:-215.37538}  
Iteration 3:{space 3}log pseudolikelihood = {res:-215.37538}  
{res}
{txt}Heckman selection model                         Number of obs     = {res}       948
{txt}(regression model with sample selection)              Selected    = {res}        70
                                                {txt}      Nonselected = {res}       878

                                                {txt}Wald chi2({res}6{txt})      =  {res}    40.11
{txt}Log pseudolikelihood = {res}-215.3754                {txt}Prob > chi2       =     {res}0.0000

{txt}{ralign 84:(Std. Err. adjusted for {res:227} clusters in dyad_id)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}public_proportio~c {txt}{c |}
e_contraband_dum~f {c |}{col 20}{res}{space 2} .0362599{col 32}{space 2} .0622208{col 43}{space 1}    0.58{col 52}{space 3}0.560{col 60}{space 4}-.0856906{col 73}{space 3} .1582104
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .1243431{col 32}{space 2} .1024127{col 43}{space 1}    1.21{col 52}{space 3}0.225{col 60}{space 4}-.0763821{col 73}{space 3} .3250683
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0977406{col 32}{space 2} .0507808{col 43}{space 1}    1.92{col 52}{space 3}0.054{col 60}{space 4}-.0017879{col 73}{space 3} .1972692
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .0747745{col 32}{space 2} .0566442{col 43}{space 1}    1.32{col 52}{space 3}0.187{col 60}{space 4}-.0362461{col 73}{space 3} .1857952
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .1819694{col 32}{space 2} .0510197{col 43}{space 1}    3.57{col 52}{space 3}0.000{col 60}{space 4} .0819725{col 73}{space 3} .2819662
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.1418686{col 32}{space 2} .0598394{col 43}{space 1}   -2.37{col 52}{space 3}0.018{col 60}{space 4}-.2591516{col 73}{space 3}-.0245855
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .1824898{col 32}{space 2} .2917878{col 43}{space 1}    0.63{col 52}{space 3}0.532{col 60}{space 4}-.3894037{col 73}{space 3} .7543834
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}outcomenew         {txt}{c |}
{space 1}battle_deaths_log {c |}{col 20}{res}{space 2}-.0877197{col 32}{space 2}  .049431{col 43}{space 1}   -1.77{col 52}{space 3}0.076{col 60}{space 4}-.1846028{col 73}{space 3} .0091633
{txt}{space 4}reb_number_dum {c |}{col 20}{res}{space 2} .2101646{col 32}{space 2} .1488589{col 43}{space 1}    1.41{col 52}{space 3}0.158{col 60}{space 4}-.0815936{col 73}{space 3} .5019227
{txt}{space 3}conf_type_eth_y {c |}{col 20}{res}{space 2}-.1589909{col 32}{space 2} .1541906{col 43}{space 1}   -1.03{col 52}{space 3}0.302{col 60}{space 4}-.4611989{col 73}{space 3} .1432171
{txt}{space 6}total_un_log {c |}{col 20}{res}{space 2} .0747128{col 32}{space 2} .0401736{col 43}{space 1}    1.86{col 52}{space 3}0.063{col 60}{space 4} -.004026{col 73}{space 3} .1534516
{txt}{space 4}aes_troops_dum {c |}{col 20}{res}{space 2} .3401429{col 32}{space 2} .2810327{col 43}{space 1}    1.21{col 52}{space 3}0.226{col 60}{space 4}-.2106711{col 73}{space 3}  .890957
{txt}{space 4}bes_troops_dum {c |}{col 20}{res}{space 2}-.4654156{col 32}{space 2}  .266035{col 43}{space 1}   -1.75{col 52}{space 3}0.080{col 60}{space 4}-.9868346{col 73}{space 3} .0560034
{txt}{space 18} {c |}
{space 12}regime {c |}
{space 16}1  {c |}{col 20}{res}{space 2}-.0956826{col 32}{space 2} .3330971{col 43}{space 1}   -0.29{col 52}{space 3}0.774{col 60}{space 4}-.7485409{col 73}{space 3} .5571757
{txt}{space 16}2  {c |}{col 20}{res}{space 2} .2381648{col 32}{space 2} .2523778{col 43}{space 1}    0.94{col 52}{space 3}0.345{col 60}{space 4}-.2564867{col 73}{space 3} .7328162
{txt}{space 18} {c |}
{space 1}e_contraband_dum2 {c |}{col 20}{res}{space 2}-.1565109{col 32}{space 2} .2122946{col 43}{space 1}   -0.74{col 52}{space 3}0.461{col 60}{space 4}-.5726007{col 73}{space 3}  .259579
{txt}{space 6}wdigdppc_log {c |}{col 20}{res}{space 2}-.2571697{col 32}{space 2} .0823648{col 43}{space 1}   -3.12{col 52}{space 3}0.002{col 60}{space 4}-.4186017{col 73}{space 3}-.0957376
{txt}{space 13}count {c |}{col 20}{res}{space 2}  .045564{col 32}{space 2} .0744015{col 43}{space 1}    0.61{col 52}{space 3}0.540{col 60}{space 4}-.1002603{col 73}{space 3} .1913883
{txt}{space 12}count2 {c |}{col 20}{res}{space 2}-.0018583{col 32}{space 2} .0059834{col 43}{space 1}   -0.31{col 52}{space 3}0.756{col 60}{space 4}-.0135855{col 73}{space 3}  .009869
{txt}{space 12}count3 {c |}{col 20}{res}{space 2}-2.56e-06{col 32}{space 2} .0001284{col 43}{space 1}   -0.02{col 52}{space 3}0.984{col 60}{space 4}-.0002541{col 73}{space 3}  .000249
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4871895{col 32}{space 2} .7961643{col 43}{space 1}    0.61{col 52}{space 3}0.541{col 60}{space 4}-1.073264{col 73}{space 3} 2.047643
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}/athrho {c |}{col 20}{res}{space 2} .3002686{col 32}{space 2} .8467064{col 43}{space 1}    0.35{col 52}{space 3}0.723{col 60}{space 4}-1.359246{col 73}{space 3} 1.959783
{txt}{space 10}/lnsigma {c |}{col 20}{res}{space 2}-1.480882{col 32}{space 2} .2036202{col 43}{space 1}   -7.27{col 52}{space 3}0.000{col 60}{space 4} -1.87997{col 73}{space 3}-1.081793
{txt}{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
               rho {c |}{col 20}{res}{space 2} .2915584{col 32}{space 2} .7747311{col 60}{space 4} -.876218{col 73}{space 3} .9610732
{txt}             sigma {c |}{col 20}{res}{space 2} .2274371{col 32}{space 2} .0463108{col 60}{space 4} .1525947{col 73}{space 3} .3389871
{txt}            lambda {c |}{col 20}{res}{space 2} .0663112{col 32}{space 2} .1888121{col 60}{space 4}-.3037537{col 73}{space 3} .4363761
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of indep. eqns. (rho = 0): chi2({res}1{txt}) = {res}    0.13   {txt}Prob > chi2 = {res}0.7229
{txt}
{com}. estimate store ms24
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. esttab ms22 ms23 ms24 using table2A.rtf, replace
>   modelwidth(7) se label nogaps nonotes title(Table A2: Heckman and Matching Results, Inclusive DV) 
>   addnote(Robust standard errors in parentheses. *p<0.10, **p<0.05, ***p<0.01.) 
>   nonumbers mtitles("Model 1" "Model 2" "Model 3")  
>   star(* 0.10 ** .05 *** .01) ;
{res}{txt}(note: file table2A.rtf not found)
(output written to {browse  `"table2A.rtf"'})

{com}. #delimit cr
{txt}delimiter now cr
{com}.   
. ***************************************************************************
. *** Table A3: Alternative Specifications and Civilian Reliance Measures ***  
. ***************************************************************************  
. 
. clear
{txt}
{com}. use Selling_Out_or_Standing_Firm_processlevel.dta
{txt}
{com}. 
. *** All three measures in a single model ***
. fracreg logit public_proportion2 ethnic_all_dum bes_sanctuary e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-54.870508}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.635514}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.620888}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.620885}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     28.82
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0003
{txt}Log pseudolikelihood = {res}-48.620885{txt}{col 49}Pseudo R2{col 67}= {res}    0.0512

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2} .4669744{col 32}{space 2} .2121264{col 43}{space 1}    2.20{col 52}{space 3}0.028{col 60}{space 4} .0512142{col 73}{space 3} .8827346
{txt}bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}-.4483383{col 32}{space 2} .1982132{col 43}{space 1}   -2.26{col 52}{space 3}0.024{col 60}{space 4} -.836829{col 73}{space 3}-.0598476
{txt}e_contraband_dum~f {c |}{col 20}{res}{space 2}-.0372559{col 32}{space 2} .2016463{col 43}{space 1}   -0.18{col 52}{space 3}0.853{col 60}{space 4}-.4324753{col 73}{space 3} .3579635
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2}  .484177{col 32}{space 2} .2410752{col 43}{space 1}    2.01{col 52}{space 3}0.045{col 60}{space 4} .0116783{col 73}{space 3} .9566758
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}  .010639{col 32}{space 2} .1654507{col 43}{space 1}    0.06{col 52}{space 3}0.949{col 60}{space 4}-.3136384{col 73}{space 3} .3349164
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .5178897{col 32}{space 2} .1991211{col 43}{space 1}    2.60{col 52}{space 3}0.009{col 60}{space 4} .1276196{col 73}{space 3} .9081598
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2}  .159121{col 32}{space 2} .2131926{col 43}{space 1}    0.75{col 52}{space 3}0.455{col 60}{space 4}-.2587288{col 73}{space 3} .5769709
{txt}{space 6}conventional {c |}{col 20}{res}{space 2} -.573436{col 32}{space 2} .2151735{col 43}{space 1}   -2.66{col 52}{space 3}0.008{col 60}{space 4}-.9951683{col 73}{space 3}-.1517037
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} -.422832{col 32}{space 2} .3377396{col 43}{space 1}   -1.25{col 52}{space 3}0.211{col 60}{space 4}-1.084789{col 73}{space 3} .2391254
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms1
{txt}
{com}. 
. *** Drop Ethnic from Conflict Type ***
. fracreg logit public_proportion2 ethnic_all_dum conf_type_terronly rebstrength_cat intensity_dummy osv_state_dum conventional  , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-54.971486}  
Iteration 1:{space 3}log pseudolikelihood = {res: -48.90272}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -48.8964}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -48.8964}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     23.82
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0006
{txt}Log pseudolikelihood = {res}  -48.8964{txt}{col 49}Pseudo R2{col 67}= {res}    0.0458

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2} .3709746{col 32}{space 2} .1916327{col 43}{space 1}    1.94{col 52}{space 3}0.053{col 60}{space 4}-.0046185{col 73}{space 3} .7465678
{txt}conf_type_terronly {c |}{col 20}{res}{space 2} .8816626{col 32}{space 2}  .299596{col 43}{space 1}    2.94{col 52}{space 3}0.003{col 60}{space 4} .2944652{col 73}{space 3}  1.46886
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0211141{col 32}{space 2} .1732099{col 43}{space 1}    0.12{col 52}{space 3}0.903{col 60}{space 4}-.3183711{col 73}{space 3} .3605992
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .4571246{col 32}{space 2} .1976793{col 43}{space 1}    2.31{col 52}{space 3}0.021{col 60}{space 4} .0696803{col 73}{space 3} .8445688
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .1494604{col 32}{space 2} .2225605{col 43}{space 1}    0.67{col 52}{space 3}0.502{col 60}{space 4}-.2867502{col 73}{space 3} .5856711
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.5491979{col 32}{space 2} .2149784{col 43}{space 1}   -2.55{col 52}{space 3}0.011{col 60}{space 4}-.9705478{col 73}{space 3} -.127848
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.5945868{col 32}{space 2} .3094485{col 43}{space 1}   -1.92{col 52}{space 3}0.055{col 60}{space 4}-1.201095{col 73}{space 3}  .011921
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms2
{txt}
{com}. fracreg logit public_proportion2 bes_sanctuary conf_type_terronly rebstrength_cat intensity_dummy osv_state_dum conventional  , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-54.909718}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.753663}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.746103}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.746103}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     28.91
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-48.746103{txt}{col 49}Pseudo R2{col 67}= {res}    0.0488

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}-.4264098{col 32}{space 2} .2081153{col 43}{space 1}   -2.05{col 52}{space 3}0.040{col 60}{space 4}-.8343084{col 73}{space 3}-.0185112
{txt}conf_type_terronly {c |}{col 20}{res}{space 2} .9044113{col 32}{space 2} .3448056{col 43}{space 1}    2.62{col 52}{space 3}0.009{col 60}{space 4} .2286047{col 73}{space 3} 1.580218
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .1159497{col 32}{space 2} .1729025{col 43}{space 1}    0.67{col 52}{space 3}0.502{col 60}{space 4}-.2229329{col 73}{space 3} .4548323
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .4254857{col 32}{space 2}   .18755{col 43}{space 1}    2.27{col 52}{space 3}0.023{col 60}{space 4} .0578945{col 73}{space 3}  .793077
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .2820754{col 32}{space 2} .2104581{col 43}{space 1}    1.34{col 52}{space 3}0.180{col 60}{space 4}-.1304148{col 73}{space 3} .6945656
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.6217009{col 32}{space 2} .2153999{col 43}{space 1}   -2.89{col 52}{space 3}0.004{col 60}{space 4}-1.043877{col 73}{space 3}-.1995249
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.4360553{col 32}{space 2} .3400582{col 43}{space 1}   -1.28{col 52}{space 3}0.200{col 60}{space 4}-1.102557{col 73}{space 3} .2304465
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms3
{txt}
{com}. fracreg logit public_proportion2 e_contraband_dum2_max_duringconf conf_type_terronly rebstrength_cat intensity_dummy osv_state_dum conventional  , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -55.05553}  
Iteration 1:{space 3}log pseudolikelihood = {res:-49.108252}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -49.1033}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -49.1033}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     25.04
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0003
{txt}Log pseudolikelihood = {res}  -49.1033{txt}{col 49}Pseudo R2{col 67}= {res}    0.0418

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
e_contraband_dum~f {c |}{col 20}{res}{space 2}-.0654996{col 32}{space 2} .2076174{col 43}{space 1}   -0.32{col 52}{space 3}0.752{col 60}{space 4}-.4724223{col 73}{space 3}  .341423
{txt}conf_type_terronly {c |}{col 20}{res}{space 2} 1.030665{col 32}{space 2}  .315362{col 43}{space 1}    3.27{col 52}{space 3}0.001{col 60}{space 4} .4125669{col 73}{space 3} 1.648763
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .1188874{col 32}{space 2} .1750939{col 43}{space 1}    0.68{col 52}{space 3}0.497{col 60}{space 4}-.2242905{col 73}{space 3} .4620652
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .4405068{col 32}{space 2} .2045717{col 43}{space 1}    2.15{col 52}{space 3}0.031{col 60}{space 4} .0395536{col 73}{space 3}   .84146
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2}  .231873{col 32}{space 2} .2161217{col 43}{space 1}    1.07{col 52}{space 3}0.283{col 60}{space 4}-.1917177{col 73}{space 3} .6554638
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.5720672{col 32}{space 2} .2232708{col 43}{space 1}   -2.56{col 52}{space 3}0.010{col 60}{space 4} -1.00967{col 73}{space 3}-.1344644
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.6186466{col 32}{space 2} .3526794{col 43}{space 1}   -1.75{col 52}{space 3}0.079{col 60}{space 4}-1.309886{col 73}{space 3} .0725924
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms4
{txt}
{com}. 
. *** Alternative Proxies of Civilian Reliance ***
. * Civilian Source 
. fracreg logit public_proportion2 source3 conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-35.902552}  
Iteration 1:{space 3}log pseudolikelihood = {res:-32.255919}  
Iteration 2:{space 3}log pseudolikelihood = {res:-32.251887}  
Iteration 3:{space 3}log pseudolikelihood = {res:-32.251887}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        49
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     13.96
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0301
{txt}Log pseudolikelihood = {res}-32.251887{txt}{col 49}Pseudo R2{col 67}= {res}    0.0396

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}source3 {c |}{col 20}{res}{space 2} .4156848{col 32}{space 2} .1942127{col 43}{space 1}    2.14{col 52}{space 3}0.032{col 60}{space 4}  .035035{col 73}{space 3} .7963347
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .7220762{col 32}{space 2}  .345116{col 43}{space 1}    2.09{col 52}{space 3}0.036{col 60}{space 4} .0456613{col 73}{space 3} 1.398491
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0188534{col 32}{space 2} .1683014{col 43}{space 1}    0.11{col 52}{space 3}0.911{col 60}{space 4}-.3110113{col 73}{space 3}  .348718
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .5204614{col 32}{space 2} .2757972{col 43}{space 1}    1.89{col 52}{space 3}0.059{col 60}{space 4}-.0200912{col 73}{space 3} 1.061014
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2}  .111257{col 32}{space 2} .2576197{col 43}{space 1}    0.43{col 52}{space 3}0.666{col 60}{space 4}-.3936683{col 73}{space 3} .6161823
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.3444245{col 32}{space 2} .2639644{col 43}{space 1}   -1.30{col 52}{space 3}0.192{col 60}{space 4}-.8617852{col 73}{space 3} .1729362
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-1.353056{col 32}{space 2} .5174493{col 43}{space 1}   -2.61{col 52}{space 3}0.009{col 60}{space 4}-2.367238{col 73}{space 3}-.3388738
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms5
{txt}
{com}. * Crime 
. fracreg logit public_proportion2 crime conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-35.760792}  
Iteration 1:{space 3}log pseudolikelihood = {res:-31.903043}  
Iteration 2:{space 3}log pseudolikelihood = {res:-31.892547}  
Iteration 3:{space 3}log pseudolikelihood = {res:-31.892542}  
Iteration 4:{space 3}log pseudolikelihood = {res:-31.892542}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        49
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     15.90
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0143
{txt}Log pseudolikelihood = {res}-31.892542{txt}{col 49}Pseudo R2{col 67}= {res}    0.0503

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}crime {c |}{col 20}{res}{space 2}-.7081988{col 32}{space 2} .2477988{col 43}{space 1}   -2.86{col 52}{space 3}0.004{col 60}{space 4}-1.193876{col 73}{space 3}-.2225221
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .8032568{col 32}{space 2}  .325416{col 43}{space 1}    2.47{col 52}{space 3}0.014{col 60}{space 4} .1654531{col 73}{space 3} 1.441061
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}-.0301316{col 32}{space 2} .1760579{col 43}{space 1}   -0.17{col 52}{space 3}0.864{col 60}{space 4}-.3751988{col 73}{space 3} .3149356
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .3869711{col 32}{space 2}  .273455{col 43}{space 1}    1.42{col 52}{space 3}0.157{col 60}{space 4}-.1489908{col 73}{space 3} .9229331
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .0445529{col 32}{space 2} .2519263{col 43}{space 1}    0.18{col 52}{space 3}0.860{col 60}{space 4}-.4492137{col 73}{space 3} .5383195
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.5838724{col 32}{space 2} .2824131{col 43}{space 1}   -2.07{col 52}{space 3}0.039{col 60}{space 4}-1.137392{col 73}{space 3}-.0303529
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.1257997{col 32}{space 2} .3688174{col 43}{space 1}   -0.34{col 52}{space 3}0.733{col 60}{space 4}-.8486685{col 73}{space 3}  .597069
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms6
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. esttab ms1 ms2 ms3 ms4 ms5 ms6 using table3A.rtf, replace
>   modelwidth(7) se label nogaps nonotes title(Table A4: Alternative Specifications and Civilian Reliance Measures) 
>   addnote(Robust standard errors in parentheses. *p<0.10, **p<0.05, ***p<0.01. Results hold when using inclusive DV.) 
>   nonumbers mtitles("Combined Model" "Alt. Conf. Type" "Alt. Conf. Type" "Alt. Conf. Type" "Alt. IV" "Alt. IV")  
>   star(* 0.10 ** .05 *** .01) ;
{res}{txt}(note: file table3A.rtf not found)
(output written to {browse  `"table3A.rtf"'})

{com}. #delimit cr
{txt}delimiter now cr
{com}.    
. ********************************************
. *** Table A4: Alternative Measures of DV ***  
. ********************************************   
.  
. *** Alternative DV using total benefits to all actors as denominator ***
. fracreg logit public_proportion3 ethnic_all_dum conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -56.48898}  
Iteration 1:{space 3}log pseudolikelihood = {res:-45.655221}  
Iteration 2:{space 3}log pseudolikelihood = {res:-45.597942}  
Iteration 3:{space 3}log pseudolikelihood = {res:-45.597854}  
Iteration 4:{space 3}log pseudolikelihood = {res:-45.597854}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     20.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0020
{txt}Log pseudolikelihood = {res}-45.597854{txt}{col 49}Pseudo R2{col 67}= {res}    0.0401

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion3{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2} .3812075{col 32}{space 2} .2114031{col 43}{space 1}    1.80{col 52}{space 3}0.071{col 60}{space 4}-.0331349{col 73}{space 3} .7955499
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .7144709{col 32}{space 2} .2620664{col 43}{space 1}    2.73{col 52}{space 3}0.006{col 60}{space 4} .2008303{col 73}{space 3} 1.228112
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0833941{col 32}{space 2} .1722468{col 43}{space 1}    0.48{col 52}{space 3}0.628{col 60}{space 4}-.2542034{col 73}{space 3} .4209916
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .5365852{col 32}{space 2} .2308547{col 43}{space 1}    2.32{col 52}{space 3}0.020{col 60}{space 4} .0841182{col 73}{space 3} .9890522
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .0931065{col 32}{space 2} .2174667{col 43}{space 1}    0.43{col 52}{space 3}0.669{col 60}{space 4}-.3331204{col 73}{space 3} .5193335
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.3824212{col 32}{space 2} .2186354{col 43}{space 1}   -1.75{col 52}{space 3}0.080{col 60}{space 4}-.8109387{col 73}{space 3} .0460962
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-1.273393{col 32}{space 2} .3328502{col 43}{space 1}   -3.83{col 52}{space 3}0.000{col 60}{space 4}-1.925767{col 73}{space 3}-.6210184
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms7
{txt}
{com}. fracreg logit public_proportion3 bes_sanctuary conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-56.381497}  
Iteration 1:{space 3}log pseudolikelihood = {res:-45.354465}  
Iteration 2:{space 3}log pseudolikelihood = {res: -45.27826}  
Iteration 3:{space 3}log pseudolikelihood = {res:-45.278251}  
Iteration 4:{space 3}log pseudolikelihood = {res:-45.278251}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     24.42
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0004
{txt}Log pseudolikelihood = {res}-45.278251{txt}{col 49}Pseudo R2{col 67}= {res}    0.0468

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion3{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}-.5481036{col 32}{space 2} .2005978{col 43}{space 1}   -2.73{col 52}{space 3}0.006{col 60}{space 4} -.941268{col 73}{space 3}-.1549392
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2}  .682938{col 32}{space 2} .2591343{col 43}{space 1}    2.64{col 52}{space 3}0.008{col 60}{space 4}  .175044{col 73}{space 3} 1.190832
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}  .178463{col 32}{space 2} .1594473{col 43}{space 1}    1.12{col 52}{space 3}0.263{col 60}{space 4}-.1340479{col 73}{space 3} .4909739
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2}   .50029{col 32}{space 2} .2083107{col 43}{space 1}    2.40{col 52}{space 3}0.016{col 60}{space 4} .0920086{col 73}{space 3} .9085714
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .2487968{col 32}{space 2}  .203489{col 43}{space 1}    1.22{col 52}{space 3}0.221{col 60}{space 4}-.1500342{col 73}{space 3} .6476279
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.4793557{col 32}{space 2} .2128427{col 43}{space 1}   -2.25{col 52}{space 3}0.024{col 60}{space 4}-.8965197{col 73}{space 3}-.0621916
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-1.052766{col 32}{space 2} .3285061{col 43}{space 1}   -3.20{col 52}{space 3}0.001{col 60}{space 4}-1.696626{col 73}{space 3}-.4089058
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms8
{txt}
{com}. fracreg logit public_proportion3 e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-56.565554}  
Iteration 1:{space 3}log pseudolikelihood = {res:-45.849863}  
Iteration 2:{space 3}log pseudolikelihood = {res:-45.800556}  
Iteration 3:{space 3}log pseudolikelihood = {res:-45.800496}  
Iteration 4:{space 3}log pseudolikelihood = {res:-45.800496}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     19.47
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0034
{txt}Log pseudolikelihood = {res}-45.800496{txt}{col 49}Pseudo R2{col 67}= {res}    0.0358

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion3{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
e_contraband_dum~f {c |}{col 20}{res}{space 2}-.1289556{col 32}{space 2} .2315818{col 43}{space 1}   -0.56{col 52}{space 3}0.578{col 60}{space 4}-.5828476{col 73}{space 3} .3249364
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2}  .746568{col 32}{space 2} .2871118{col 43}{space 1}    2.60{col 52}{space 3}0.009{col 60}{space 4} .1838393{col 73}{space 3} 1.309297
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .1733691{col 32}{space 2} .1703383{col 43}{space 1}    1.02{col 52}{space 3}0.309{col 60}{space 4}-.1604878{col 73}{space 3}  .507226
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .5299352{col 32}{space 2} .2338137{col 43}{space 1}    2.27{col 52}{space 3}0.023{col 60}{space 4} .0716688{col 73}{space 3} .9882016
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .1705474{col 32}{space 2} .2079893{col 43}{space 1}    0.82{col 52}{space 3}0.412{col 60}{space 4}-.2371042{col 73}{space 3}  .578199
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.4132672{col 32}{space 2} .2289529{col 43}{space 1}   -1.81{col 52}{space 3}0.071{col 60}{space 4}-.8620067{col 73}{space 3} .0354723
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-1.236574{col 32}{space 2} .3670539{col 43}{space 1}   -3.37{col 52}{space 3}0.001{col 60}{space 4}-1.955986{col 73}{space 3}-.5171613
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms9
{txt}
{com}.   
. *** Important Provisions DV ***
. fracreg logit public_proportion2_imp3 ethnic_all_dum conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-51.797124}  
Iteration 1:{space 3}log pseudolikelihood = {res:-46.355462}  
Iteration 2:{space 3}log pseudolikelihood = {res:-46.350537}  
Iteration 3:{space 3}log pseudolikelihood = {res:-46.350537}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        72
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     10.94
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0902
{txt}Log pseudolikelihood = {res}-46.350537{txt}{col 49}Pseudo R2{col 67}= {res}    0.0662

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proporti~p3{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2} .8161796{col 32}{space 2} .4085998{col 43}{space 1}    2.00{col 52}{space 3}0.046{col 60}{space 4} .0153386{col 73}{space 3} 1.617021
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .6816994{col 32}{space 2} .4198415{col 43}{space 1}    1.62{col 52}{space 3}0.104{col 60}{space 4}-.1411749{col 73}{space 3} 1.504574
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}-.3969228{col 32}{space 2} .3702623{col 43}{space 1}   -1.07{col 52}{space 3}0.284{col 60}{space 4}-1.122624{col 73}{space 3} .3287779
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .5008622{col 32}{space 2} .3870837{col 43}{space 1}    1.29{col 52}{space 3}0.196{col 60}{space 4} -.257808{col 73}{space 3} 1.259532
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2}-.1702284{col 32}{space 2}  .403544{col 43}{space 1}   -0.42{col 52}{space 3}0.673{col 60}{space 4}-.9611601{col 73}{space 3} .6207032
{txt}{space 6}conventional {c |}{col 20}{res}{space 2} -.454303{col 32}{space 2}  .393301{col 43}{space 1}   -1.16{col 52}{space 3}0.248{col 60}{space 4}-1.225159{col 73}{space 3} .3165527
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.0132163{col 32}{space 2} .5908231{col 43}{space 1}   -0.02{col 52}{space 3}0.982{col 60}{space 4}-1.171208{col 73}{space 3} 1.144776
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms10
{txt}
{com}. fracreg logit public_proportion2_imp3 bes_sanctuary conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-51.808361}  
Iteration 1:{space 3}log pseudolikelihood = {res:-46.380709}  
Iteration 2:{space 3}log pseudolikelihood = {res:-46.373679}  
Iteration 3:{space 3}log pseudolikelihood = {res:-46.373678}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        72
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     11.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0721
{txt}Log pseudolikelihood = {res}-46.373678{txt}{col 49}Pseudo R2{col 67}= {res}    0.0657

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proporti~p3{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}-.7245554{col 32}{space 2} .3918511{col 43}{space 1}   -1.85{col 52}{space 3}0.064{col 60}{space 4}-1.492569{col 73}{space 3} .0434586
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .6517256{col 32}{space 2} .4229141{col 43}{space 1}    1.54{col 52}{space 3}0.123{col 60}{space 4}-.1771709{col 73}{space 3} 1.480622
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}-.1372871{col 32}{space 2} .3244933{col 43}{space 1}   -0.42{col 52}{space 3}0.672{col 60}{space 4}-.7732823{col 73}{space 3}  .498708
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .3922975{col 32}{space 2} .3873327{col 43}{space 1}    1.01{col 52}{space 3}0.311{col 60}{space 4}-.3668607{col 73}{space 3} 1.151456
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .1478446{col 32}{space 2} .3946478{col 43}{space 1}    0.37{col 52}{space 3}0.708{col 60}{space 4}-.6256509{col 73}{space 3} .9213401
{txt}{space 6}conventional {c |}{col 20}{res}{space 2} -.643289{col 32}{space 2} .3950317{col 43}{space 1}   -1.63{col 52}{space 3}0.103{col 60}{space 4}-1.417537{col 73}{space 3} .1309589
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .1981306{col 32}{space 2} .6111581{col 43}{space 1}    0.32{col 52}{space 3}0.746{col 60}{space 4}-.9997173{col 73}{space 3} 1.395979
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms11
{txt}
{com}. fracreg logit public_proportion2_imp3 e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-52.217935}  
Iteration 1:{space 3}log pseudolikelihood = {res:-47.370616}  
Iteration 2:{space 3}log pseudolikelihood = {res:-47.368314}  
Iteration 3:{space 3}log pseudolikelihood = {res:-47.368314}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        72
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}      7.60
{txt}{col 49}Prob > chi2{col 67}= {res}    0.2690
{txt}Log pseudolikelihood = {res}-47.368314{txt}{col 49}Pseudo R2{col 67}= {res}    0.0457

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proporti~p3{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
e_contraband_dum~f {c |}{col 20}{res}{space 2}-.0713973{col 32}{space 2}  .414163{col 43}{space 1}   -0.17{col 52}{space 3}0.863{col 60}{space 4}-.8831418{col 73}{space 3} .7403471
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .7955986{col 32}{space 2} .4532687{col 43}{space 1}    1.76{col 52}{space 3}0.079{col 60}{space 4}-.0927918{col 73}{space 3} 1.683989
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}-.1599309{col 32}{space 2} .3327381{col 43}{space 1}   -0.48{col 52}{space 3}0.631{col 60}{space 4}-.8120855{col 73}{space 3} .4922238
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .4500529{col 32}{space 2} .3892955{col 43}{space 1}    1.16{col 52}{space 3}0.248{col 60}{space 4}-.3129523{col 73}{space 3} 1.213058
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .0275902{col 32}{space 2} .3818959{col 43}{space 1}    0.07{col 52}{space 3}0.942{col 60}{space 4}-.7209119{col 73}{space 3} .7760924
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.5131946{col 32}{space 2} .3954129{col 43}{space 1}   -1.30{col 52}{space 3}0.194{col 60}{space 4} -1.28819{col 73}{space 3} .2618003
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.1229057{col 32}{space 2} .6129088{col 43}{space 1}   -0.20{col 52}{space 3}0.841{col 60}{space 4}-1.324185{col 73}{space 3} 1.078374
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms12
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. esttab ms7 ms8 ms9 ms10 ms11 ms12 using table4A.rtf, replace
>   modelwidth(7) se label nogaps nonotes title(Table A3: Alternative Dependent Variable Measures) 
>   addnote(Robust standard errors in parentheses. *p<0.10, **p<0.05, ***p<0.01. Results hold when using inclusive DV.) 
>   nonumbers mtitles("Public over All Benefits DV" "Public over All Benefits DV" "Public over All Benefits DV" "Important Provisions DV" "Important Provisions DV" "Important Provisions DV")  
>   star(* 0.10 ** .05 *** .01) ;
{res}{txt}(note: file table4A.rtf not found)
(output written to {browse  `"table4A.rtf"'})

{com}. #delimit cr
{txt}delimiter now cr
{com}.  
. *************************************
. *** Table A5: Additional Controls ***
. *************************************
. 
. *** Ethnic Competition, External Funding, Leader Benefits ***
. 
. fracreg logit public_proportion2 ethnic_all_dum conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional ethnic_all_comp_dumor bes_materiel_max_duringconf leader_proportion2, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-54.703093}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.197254}  
Iteration 2:{space 3}log pseudolikelihood = {res: -48.16129}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.161247}  
Iteration 4:{space 3}log pseudolikelihood = {res:-48.161247}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}     33.59
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001
{txt}Log pseudolikelihood = {res}-48.161247{txt}{col 49}Pseudo R2{col 67}= {res}    0.0602

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2} .5008091{col 32}{space 2} .1866633{col 43}{space 1}    2.68{col 52}{space 3}0.007{col 60}{space 4} .1349557{col 73}{space 3} .8666625
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5372081{col 32}{space 2} .2588257{col 43}{space 1}    2.08{col 52}{space 3}0.038{col 60}{space 4}  .029919{col 73}{space 3} 1.044497
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .1312321{col 32}{space 2} .1743366{col 43}{space 1}    0.75{col 52}{space 3}0.452{col 60}{space 4}-.2104614{col 73}{space 3} .4729256
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .4530557{col 32}{space 2} .2141549{col 43}{space 1}    2.12{col 52}{space 3}0.034{col 60}{space 4} .0333199{col 73}{space 3} .8727915
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .1679133{col 32}{space 2} .2006792{col 43}{space 1}    0.84{col 52}{space 3}0.403{col 60}{space 4}-.2254108{col 73}{space 3} .5612374
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.5744487{col 32}{space 2} .2313322{col 43}{space 1}   -2.48{col 52}{space 3}0.013{col 60}{space 4}-1.027851{col 73}{space 3} -.121046
{txt}ethnic_all_comp_~r {c |}{col 20}{res}{space 2}-.3988854{col 32}{space 2} .2567071{col 43}{space 1}   -1.55{col 52}{space 3}0.120{col 60}{space 4}-.9020221{col 73}{space 3} .1042513
{txt}bes_materiel_max~f {c |}{col 20}{res}{space 2}-.0076339{col 32}{space 2}  .218687{col 43}{space 1}   -0.03{col 52}{space 3}0.972{col 60}{space 4}-.4362526{col 73}{space 3} .4209849
{txt}leader_proportion2 {c |}{col 20}{res}{space 2}-1.562346{col 32}{space 2} .6283477{col 43}{space 1}   -2.49{col 52}{space 3}0.013{col 60}{space 4}-2.793885{col 73}{space 3}-.3308071
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.4718767{col 32}{space 2} .3691984{col 43}{space 1}   -1.28{col 52}{space 3}0.201{col 60}{space 4}-1.195492{col 73}{space 3} .2517388
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store ms13
{txt}
{com}. fracreg logit public_proportion2 bes_sanctuary conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional ethnic_all_comp_dumor bes_materiel_max_duringconf leader_proportion2, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-54.784758}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.388421}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.350048}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.349984}  
Iteration 4:{space 3}log pseudolikelihood = {res:-48.349984}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}     37.78
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-48.349984{txt}{col 49}Pseudo R2{col 67}= {res}    0.0565

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}-.3517418{col 32}{space 2} .2087277{col 43}{space 1}   -1.69{col 52}{space 3}0.092{col 60}{space 4}-.7608407{col 73}{space 3}  .057357
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5924901{col 32}{space 2} .2514258{col 43}{space 1}    2.36{col 52}{space 3}0.018{col 60}{space 4} .0997045{col 73}{space 3} 1.085276
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .2304763{col 32}{space 2} .1701316{col 43}{space 1}    1.35{col 52}{space 3}0.176{col 60}{space 4}-.1029755{col 73}{space 3} .5639282
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .3874957{col 32}{space 2} .1985107{col 43}{space 1}    1.95{col 52}{space 3}0.051{col 60}{space 4}-.0015782{col 73}{space 3} .7765695
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .2981159{col 32}{space 2} .1922645{col 43}{space 1}    1.55{col 52}{space 3}0.121{col 60}{space 4}-.0787156{col 73}{space 3} .6749473
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.6304299{col 32}{space 2} .2236529{col 43}{space 1}   -2.82{col 52}{space 3}0.005{col 60}{space 4}-1.068782{col 73}{space 3}-.1920782
{txt}ethnic_all_comp_~r {c |}{col 20}{res}{space 2}-.2700753{col 32}{space 2} .2383197{col 43}{space 1}   -1.13{col 52}{space 3}0.257{col 60}{space 4}-.7371732{col 73}{space 3} .1970226
{txt}bes_materiel_max~f {c |}{col 20}{res}{space 2} .1068932{col 32}{space 2} .2334028{col 43}{space 1}    0.46{col 52}{space 3}0.647{col 60}{space 4}-.3505679{col 73}{space 3} .5643543
{txt}leader_proportion2 {c |}{col 20}{res}{space 2}-1.542533{col 32}{space 2}  .631134{col 43}{space 1}   -2.44{col 52}{space 3}0.015{col 60}{space 4}-2.779533{col 73}{space 3} -.305533
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.4224023{col 32}{space 2} .3512722{col 43}{space 1}   -1.20{col 52}{space 3}0.229{col 60}{space 4}-1.110883{col 73}{space 3} .2660785
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms14
{txt}
{com}. fracreg logit public_proportion2 e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional ethnic_all_comp_dumor bes_materiel_max_duringconf leader_proportion2, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-54.864782}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.588712}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.556532}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.556489}  
Iteration 4:{space 3}log pseudolikelihood = {res:-48.556489}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}     36.92
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-48.556489{txt}{col 49}Pseudo R2{col 67}= {res}    0.0525

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
e_contraband_dum~f {c |}{col 20}{res}{space 2}  .102625{col 32}{space 2}   .21764{col 43}{space 1}    0.47{col 52}{space 3}0.637{col 60}{space 4}-.3239415{col 73}{space 3} .5291915
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .6521762{col 32}{space 2}  .269959{col 43}{space 1}    2.42{col 52}{space 3}0.016{col 60}{space 4} .1230663{col 73}{space 3} 1.181286
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .2336352{col 32}{space 2} .1816145{col 43}{space 1}    1.29{col 52}{space 3}0.198{col 60}{space 4}-.1223227{col 73}{space 3} .5895931
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2}  .421086{col 32}{space 2} .2131943{col 43}{space 1}    1.98{col 52}{space 3}0.048{col 60}{space 4} .0032329{col 73}{space 3} .8389392
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .2619106{col 32}{space 2} .1988819{col 43}{space 1}    1.32{col 52}{space 3}0.188{col 60}{space 4}-.1278908{col 73}{space 3} .6517121
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.5561728{col 32}{space 2} .2389544{col 43}{space 1}   -2.33{col 52}{space 3}0.020{col 60}{space 4}-1.024515{col 73}{space 3}-.0878307
{txt}ethnic_all_comp_~r {c |}{col 20}{res}{space 2}-.3030834{col 32}{space 2} .2605357{col 43}{space 1}   -1.16{col 52}{space 3}0.245{col 60}{space 4}-.8137239{col 73}{space 3} .2075571
{txt}bes_materiel_max~f {c |}{col 20}{res}{space 2}-.0285746{col 32}{space 2} .2284287{col 43}{space 1}   -0.13{col 52}{space 3}0.900{col 60}{space 4}-.4762867{col 73}{space 3} .4191374
{txt}leader_proportion2 {c |}{col 20}{res}{space 2}-1.746015{col 32}{space 2} .6327866{col 43}{space 1}   -2.76{col 52}{space 3}0.006{col 60}{space 4}-2.986254{col 73}{space 3}-.5057759
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.5530705{col 32}{space 2} .3920236{col 43}{space 1}   -1.41{col 52}{space 3}0.158{col 60}{space 4}-1.321423{col 73}{space 3} .2152816
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store ms15
{txt}
{com}. 
. *** Previous Peace Attempts, Length of Negotiations ***
. 
. fracreg logit public_proportion2 ethnic_all_dum conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional previouspeace_dummy days_norm , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-55.019481}  
Iteration 1:{space 3}log pseudolikelihood = {res:-49.002937}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.993977}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.993976}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     23.39
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0029
{txt}Log pseudolikelihood = {res}-48.993976{txt}{col 49}Pseudo R2{col 67}= {res}    0.0439

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}ethnic_all_dum {c |}{col 20}{res}{space 2} .4724957{col 32}{space 2} .2019337{col 43}{space 1}    2.34{col 52}{space 3}0.019{col 60}{space 4}  .076713{col 73}{space 3} .8682784
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5604557{col 32}{space 2} .2668449{col 43}{space 1}    2.10{col 52}{space 3}0.036{col 60}{space 4} .0374493{col 73}{space 3} 1.083462
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0439446{col 32}{space 2} .1841325{col 43}{space 1}    0.24{col 52}{space 3}0.811{col 60}{space 4}-.3169485{col 73}{space 3} .4048377
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .4830585{col 32}{space 2} .2265532{col 43}{space 1}    2.13{col 52}{space 3}0.033{col 60}{space 4} .0390224{col 73}{space 3} .9270945
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .0567195{col 32}{space 2} .2194717{col 43}{space 1}    0.26{col 52}{space 3}0.796{col 60}{space 4}-.3734371{col 73}{space 3} .4868761
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.4497144{col 32}{space 2} .2393089{col 43}{space 1}   -1.88{col 52}{space 3}0.060{col 60}{space 4}-.9187512{col 73}{space 3} .0193224
{txt}previouspeace_du~y {c |}{col 20}{res}{space 2}-.1983452{col 32}{space 2} .3530984{col 43}{space 1}   -0.56{col 52}{space 3}0.574{col 60}{space 4}-.8904054{col 73}{space 3}  .493715
{txt}{space 9}days_norm {c |}{col 20}{res}{space 2} .0056695{col 32}{space 2} .0164444{col 43}{space 1}    0.34{col 52}{space 3}0.730{col 60}{space 4}-.0265609{col 73}{space 3}    .0379
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.6784289{col 32}{space 2} .3255573{col 43}{space 1}   -2.08{col 52}{space 3}0.037{col 60}{space 4}-1.316509{col 73}{space 3}-.0403483
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store ms16
{txt}
{com}. fracreg logit public_proportion2 bes_sanctuary conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional previouspeace_dummy days_norm , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-54.991448}  
Iteration 1:{space 3}log pseudolikelihood = {res: -48.92569}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.913949}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.913946}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     27.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0006
{txt}Log pseudolikelihood = {res}-48.913946{txt}{col 49}Pseudo R2{col 67}= {res}    0.0455

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
bes_sanctuary_ma~f {c |}{col 20}{res}{space 2}-.4769502{col 32}{space 2} .2055162{col 43}{space 1}   -2.32{col 52}{space 3}0.020{col 60}{space 4}-.8797545{col 73}{space 3}-.0741458
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5513855{col 32}{space 2} .2801627{col 43}{space 1}    1.97{col 52}{space 3}0.049{col 60}{space 4} .0022766{col 73}{space 3} 1.100494
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}  .161556{col 32}{space 2} .1914403{col 43}{space 1}    0.84{col 52}{space 3}0.399{col 60}{space 4}-.2136602{col 73}{space 3} .5367722
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .4110857{col 32}{space 2} .2180308{col 43}{space 1}    1.89{col 52}{space 3}0.059{col 60}{space 4}-.0162467{col 73}{space 3} .8384182
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2}  .224914{col 32}{space 2} .2174906{col 43}{space 1}    1.03{col 52}{space 3}0.301{col 60}{space 4}-.2013596{col 73}{space 3} .6511877
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.5174327{col 32}{space 2} .2301867{col 43}{space 1}   -2.25{col 52}{space 3}0.025{col 60}{space 4}-.9685903{col 73}{space 3}-.0662751
{txt}previouspeace_du~y {c |}{col 20}{res}{space 2}-.2063551{col 32}{space 2} .3861452{col 43}{space 1}   -0.53{col 52}{space 3}0.593{col 60}{space 4}-.9631858{col 73}{space 3} .5504756
{txt}{space 9}days_norm {c |}{col 20}{res}{space 2} .0143533{col 32}{space 2} .0155503{col 43}{space 1}    0.92{col 52}{space 3}0.356{col 60}{space 4}-.0161247{col 73}{space 3} .0448314
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.5302362{col 32}{space 2} .3249404{col 43}{space 1}   -1.63{col 52}{space 3}0.103{col 60}{space 4}-1.167108{col 73}{space 3} .1066353
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store ms17
{txt}
{com}. fracreg logit public_proportion2 e_contraband_dum2_max_duringconf conf_type_eth rebstrength_cat intensity_dummy osv_state_dum conventional previouspeace_dummy days_norm, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-55.175603}  
Iteration 1:{space 3}log pseudolikelihood = {res:-49.377558}  
Iteration 2:{space 3}log pseudolikelihood = {res:-49.371087}  
Iteration 3:{space 3}log pseudolikelihood = {res:-49.371086}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     23.39
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0029
{txt}Log pseudolikelihood = {res}-49.371086{txt}{col 49}Pseudo R2{col 67}= {res}    0.0366

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
e_contraband_dum~f {c |}{col 20}{res}{space 2}  .042028{col 32}{space 2} .2272389{col 43}{space 1}    0.18{col 52}{space 3}0.853{col 60}{space 4}-.4033521{col 73}{space 3} .4874082
{txt}{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .6661865{col 32}{space 2} .2878822{col 43}{space 1}    2.31{col 52}{space 3}0.021{col 60}{space 4} .1019478{col 73}{space 3} 1.230425
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2}  .160517{col 32}{space 2} .1930505{col 43}{space 1}    0.83{col 52}{space 3}0.406{col 60}{space 4}-.2178551{col 73}{space 3} .5388892
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .4434883{col 32}{space 2} .2388453{col 43}{space 1}    1.86{col 52}{space 3}0.063{col 60}{space 4}-.0246398{col 73}{space 3} .9116165
{txt}{space 5}osv_state_dum {c |}{col 20}{res}{space 2} .1650651{col 32}{space 2} .2156045{col 43}{space 1}    0.77{col 52}{space 3}0.444{col 60}{space 4} -.257512{col 73}{space 3} .5876421
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.4544642{col 32}{space 2} .2522979{col 43}{space 1}   -1.80{col 52}{space 3}0.072{col 60}{space 4}-.9489589{col 73}{space 3} .0400305
{txt}previouspeace_du~y {c |}{col 20}{res}{space 2}-.2118442{col 32}{space 2} .3694639{col 43}{space 1}   -0.57{col 52}{space 3}0.566{col 60}{space 4}-.9359801{col 73}{space 3} .5122916
{txt}{space 9}days_norm {c |}{col 20}{res}{space 2}  .009057{col 32}{space 2} .0171813{col 43}{space 1}    0.53{col 52}{space 3}0.598{col 60}{space 4}-.0246178{col 73}{space 3} .0427318
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.7790429{col 32}{space 2} .3768852{col 43}{space 1}   -2.07{col 52}{space 3}0.039{col 60}{space 4}-1.517724{col 73}{space 3}-.0403616
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimates store ms18
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. esttab ms13 ms14 ms15 ms16 ms17 ms18 using table5A.rtf, replace
>   modelwidth(7) se label nogaps nonotes title(Table A5: Additional Control Variables) 
>   addnote(Robust standard errors in parentheses. *p<0.10, **p<0.05, ***p<0.01. Results hold when using inclusive DV.) 
>   nonumbers mtitles("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6")  
>   star(* 0.10 ** .05 *** .01) ;
{res}{txt}(note: file table5A.rtf not found)
(output written to {browse  `"table5A.rtf"'})

{com}. #delimit cr
{txt}delimiter now cr
{com}. 
.   
. *********************************
. *** Table A6: OSV interaction ***
. *********************************
. 
. fracreg logit public_proportion2 ethnic_all_dum##osv_total_high conf_type_eth rebstrength_cat intensity_dummy conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-54.891041}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.681237}  
Iteration 2:{space 3}log pseudolikelihood = {res:-48.667832}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.667829}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     23.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0017
{txt}Log pseudolikelihood = {res}-48.667829{txt}{col 49}Pseudo R2{col 67}= {res}    0.0503

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.ethnic_all_dum {c |}{col 20}{res}{space 2} .7420791{col 32}{space 2}  .256602{col 43}{space 1}    2.89{col 52}{space 3}0.004{col 60}{space 4} .2391483{col 73}{space 3}  1.24501
{txt}{space 2}1.osv_total_high {c |}{col 20}{res}{space 2}-.3131579{col 32}{space 2} .2781531{col 43}{space 1}   -1.13{col 52}{space 3}0.260{col 60}{space 4} -.858328{col 73}{space 3} .2320122
{txt}{space 18} {c |}
{space 4}ethnic_all_dum#{c |}
{space 4}osv_total_high {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.3372771{col 32}{space 2} .4214457{col 43}{space 1}   -0.80{col 52}{space 3}0.424{col 60}{space 4}-1.163295{col 73}{space 3} .4887412
{txt}{space 18} {c |}
{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5859731{col 32}{space 2} .2430145{col 43}{space 1}    2.41{col 52}{space 3}0.016{col 60}{space 4} .1096735{col 73}{space 3} 1.062273
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0541627{col 32}{space 2} .1615532{col 43}{space 1}    0.34{col 52}{space 3}0.737{col 60}{space 4}-.2624758{col 73}{space 3} .3708012
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .6223607{col 32}{space 2} .2217325{col 43}{space 1}    2.81{col 52}{space 3}0.005{col 60}{space 4} .1877731{col 73}{space 3} 1.056948
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.5722043{col 32}{space 2} .2075517{col 43}{space 1}   -2.76{col 52}{space 3}0.006{col 60}{space 4}-.9789981{col 73}{space 3}-.1654106
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.6228828{col 32}{space 2} .2655464{col 43}{space 1}   -2.35{col 52}{space 3}0.019{col 60}{space 4}-1.143344{col 73}{space 3}-.1024213
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms19
{txt}
{com}. fracreg logit public_proportion2 bes_sanctuary##osv_total_high conf_type_eth rebstrength_cat intensity_dummy conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-55.015362}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.994702}  
Iteration 2:{space 3}log pseudolikelihood = {res: -48.98663}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.986629}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     25.24
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0007
{txt}Log pseudolikelihood = {res}-48.986629{txt}{col 49}Pseudo R2{col 67}= {res}    0.0441

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.bes_sanctuary_~f {c |}{col 20}{res}{space 2}-.5502632{col 32}{space 2} .2410212{col 43}{space 1}   -2.28{col 52}{space 3}0.022{col 60}{space 4}-1.022656{col 73}{space 3}-.0778702
{txt}{space 2}1.osv_total_high {c |}{col 20}{res}{space 2} -.441253{col 32}{space 2} .3306229{col 43}{space 1}   -1.33{col 52}{space 3}0.182{col 60}{space 4}-1.089262{col 73}{space 3} .2067559
{txt}{space 18} {c |}
bes_sanctuary_ma~f#{c |}
{space 4}osv_total_high {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2} .4857789{col 32}{space 2} .4313943{col 43}{space 1}    1.13{col 52}{space 3}0.260{col 60}{space 4}-.3597384{col 73}{space 3} 1.331296
{txt}{space 18} {c |}
{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .5318295{col 32}{space 2} .2507157{col 43}{space 1}    2.12{col 52}{space 3}0.034{col 60}{space 4} .0404357{col 73}{space 3} 1.023223
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .0934124{col 32}{space 2} .1633257{col 43}{space 1}    0.57{col 52}{space 3}0.567{col 60}{space 4}-.2267001{col 73}{space 3} .4135248
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .5561397{col 32}{space 2} .2107887{col 43}{space 1}    2.64{col 52}{space 3}0.008{col 60}{space 4} .1430014{col 73}{space 3}  .969278
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.4998435{col 32}{space 2} .2079283{col 43}{space 1}   -2.40{col 52}{space 3}0.016{col 60}{space 4}-.9073756{col 73}{space 3}-.0923115
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.2530011{col 32}{space 2}  .297002{col 43}{space 1}   -0.85{col 52}{space 3}0.394{col 60}{space 4}-.8351144{col 73}{space 3} .3291122
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms20
{txt}
{com}. fracreg logit public_proportion2 e_contraband_dum2_max_duringconf##osv_total_high conf_type_eth rebstrength_cat intensity_dummy conventional , vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -55.03554}  
Iteration 1:{space 3}log pseudolikelihood = {res:-49.047936}  
Iteration 2:{space 3}log pseudolikelihood = {res:-49.041984}  
Iteration 3:{space 3}log pseudolikelihood = {res:-49.041984}  
{res}
{txt}Fractional logistic regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     25.46
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0006
{txt}Log pseudolikelihood = {res}-49.041984{txt}{col 49}Pseudo R2{col 67}= {res}    0.0430

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}public_proportion2{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.e_contraband_d~f {c |}{col 20}{res}{space 2} .3594386{col 32}{space 2} .2395842{col 43}{space 1}    1.50{col 52}{space 3}0.134{col 60}{space 4}-.1101378{col 73}{space 3}  .829015
{txt}{space 2}1.osv_total_high {c |}{col 20}{res}{space 2}   .23534{col 32}{space 2} .4410881{col 43}{space 1}    0.53{col 52}{space 3}0.594{col 60}{space 4}-.6291768{col 73}{space 3} 1.099857
{txt}{space 18} {c |}
e_contraband_dum~f#{c |}
{space 4}osv_total_high {c |}
{space 14}1 1  {c |}{col 20}{res}{space 2}-.8957137{col 32}{space 2} .5072096{col 43}{space 1}   -1.77{col 52}{space 3}0.077{col 60}{space 4}-1.889826{col 73}{space 3} .0983989
{txt}{space 18} {c |}
{space 5}conf_type_eth {c |}{col 20}{res}{space 2} .7284706{col 32}{space 2} .2680968{col 43}{space 1}    2.72{col 52}{space 3}0.007{col 60}{space 4} .2030106{col 73}{space 3} 1.253931
{txt}{space 3}rebstrength_cat {c |}{col 20}{res}{space 2} .1576878{col 32}{space 2} .1803172{col 43}{space 1}    0.87{col 52}{space 3}0.382{col 60}{space 4}-.1957274{col 73}{space 3}  .511103
{txt}{space 3}intensity_dummy {c |}{col 20}{res}{space 2} .5850074{col 32}{space 2} .2410477{col 43}{space 1}    2.43{col 52}{space 3}0.015{col 60}{space 4} .1125627{col 73}{space 3} 1.057452
{txt}{space 6}conventional {c |}{col 20}{res}{space 2}-.4708695{col 32}{space 2}  .226755{col 43}{space 1}   -2.08{col 52}{space 3}0.038{col 60}{space 4}-.9153011{col 73}{space 3}-.0264379
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.7581124{col 32}{space 2} .3450258{col 43}{space 1}   -2.20{col 52}{space 3}0.028{col 60}{space 4}-1.434351{col 73}{space 3}-.0818742
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estimate store ms21
{txt}
{com}. 
. #delimit;
{txt}delimiter now ;
{com}. esttab ms19 ms20 ms21 using table6A.rtf, replace
>   modelwidth(7) se label nogaps nonotes title(Table A6: Government OSV Interaction) 
>   addnote(Robust standard errors in parentheses. *p<0.10, **p<0.05, ***p<0.01. Results hold when using inclusive DV.) 
>   nonumbers mtitles("Model 1" "Model 2" "Model 3")  
>   star(* 0.10 ** .05 *** .01) ;
{res}{txt}(note: file table6A.rtf not found)
(output written to {browse  `"table6A.rtf"'})

{com}. #delimit cr
{txt}delimiter now cr
{com}.         
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/aprorok/Dropbox/leader specific concessions project/temp - just to run log/Selling_Out_or_Standing_Firm_replication_log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}27 Jan 2020, 21:06:44
{txt}{.-}
{smcl}
{txt}{sf}{ul off}